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Recognition of box-like objects by fusing cues of shape and edges

Chia-Chih Chen, J. K. Aggarwal
<span title="">2008</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mlkexztp5vbdfo3nlsmbuf4oia" style="color: black;">Pattern Recognition (ICPR), Proceedings of the International Conference on</a> </i> &nbsp;
In this paper we propose a template-based algorithm for recognition of box-like objects, which is invariant to scale, rotation and translation as well as robust to patterned surfaces and moderate occlusions  ...  For each box-like segment, we estimate its probability of being a 2D projection of a 3D box model upon the extracted contour and inner edges.  ...  Acknowledgements This research was supported in part by Texas Higher Education Coordinating Board award # 003658-0140-2007.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icpr.2008.4761505">doi:10.1109/icpr.2008.4761505</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icpr/ChenA08.html">dblp:conf/icpr/ChenA08</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v2rea6bkpbhnlk7s532sftsbqi">fatcat:v2rea6bkpbhnlk7s532sftsbqi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20111030223434/http://figment.cse.usf.edu:80/~sfefilat/data/papers/TuAT9.36.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f4/a2/f4a2e5d8a713fe19e8d10512217f93d29805d093.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icpr.2008.4761505"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Combining Texture and Shape Cues for Object Recognition With Minimal Supervision [article]

Xingchao Peng, Kate Saenko
<span title="2016-09-14">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We present a novel approach to object classification and detection which requires minimal supervision and which combines visual texture cues and shape information learned from freely available unlabeled  ...  The explosion of visual data on the web can potentially make visual examples of almost any object easily accessible via web search.  ...  This research was supported by NSF award IIS-1451244 and a generous donation from the NVIDIA corporation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1609.04356v1">arXiv:1609.04356v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3gcmqu326bd27bzs32c4ccg2sa">fatcat:3gcmqu326bd27bzs32c4ccg2sa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200929072343/https://arxiv.org/pdf/1609.04356v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3f/9a/3f9ab77ae85e24fb0e0165c87b8930ac2e0151de.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1609.04356v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Object Reading: Text Recognition for Object Recognition [chapter]

Sezer Karaoglu, Jan C. van Gemert, Theo Gevers
<span title="">2012</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Scene text recognition, where we increase the state-of-the-art by 0.17 on the ICDAR 2003 dataset. 2.  ...  The proposed text detection is based on saliency cues and a context fusion step. The algorithm does not need any parameter tuning and can deal with varying imaging conditions.  ...  Multi-modal Object Recognition Results We evaluate multi-modal object recognition based on visual features fused with text recognition on the IMET dataset [8] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-33885-4_46">doi:10.1007/978-3-642-33885-4_46</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2mthzifuxnf7zirwewzl5jwsua">fatcat:2mthzifuxnf7zirwewzl5jwsua</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20141016190423/https://staff.fnwi.uva.nl/s.karaoglu/Reading.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/eb/16/eb162d2872ed98a57d1efd2f06e2605bf2071b8e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-33885-4_46"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Practical 3-D object detection using category and instance-level appearance models

K. Saenko, S. Karayev, Yangqing Jia, A. Shyr, A. Janoch, J. Long, M. Fritz, T. Darrell
<span title="">2011</span> <i title="IEEE"> 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems </i> &nbsp;
The former are often characterized by locally discriminative texture cues (e.g., instances with prominent brand names and logos), and the latter by salient global shape properties (plates, bowls, pots)  ...  We describe experiments with both types of cues, combining a template-and-deformableparts detector to capture overall shape properties with a local feature Naive-Bayes nearest neighbor model to capture  ...  ) and generic categories defined by overall object shape (bottle).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iros.2011.6048691">doi:10.1109/iros.2011.6048691</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nv4suqif75dbbmg24ajkmz2sla">fatcat:nv4suqif75dbbmg24ajkmz2sla</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150116115021/http://sergeykarayev.com:80/files/iros2011.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/68/96/68969fe939a9b20e1b65137822a91feef29cc5a7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iros.2011.6048691"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Practical 3-D Object detection using category and instance-level appearance models

Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell
<span title="">2011</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dmucnarmarh2fj6syg5jyqs7ny" style="color: black;">2011 IEEE/RSJ International Conference on Intelligent Robots and Systems</a> </i> &nbsp;
The former are often characterized by locally discriminative texture cues (e.g., instances with prominent brand names and logos), and the latter by salient global shape properties (plates, bowls, pots)  ...  We describe experiments with both types of cues, combining a template-and-deformableparts detector to capture overall shape properties with a local feature Naive-Bayes nearest neighbor model to capture  ...  ) and generic categories defined by overall object shape (bottle).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iros.2011.6095000">doi:10.1109/iros.2011.6095000</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/iros/SaenkoKJSJLFD11.html">dblp:conf/iros/SaenkoKJSJLFD11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/myiaccqahzhgbpx7hqtpg56psy">fatcat:myiaccqahzhgbpx7hqtpg56psy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150116115021/http://sergeykarayev.com:80/files/iros2011.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/68/96/68969fe939a9b20e1b65137822a91feef29cc5a7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iros.2011.6095000"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Exploiting Visual Saliency and Bag-of-Words for Road Sign Recognition

Dan XU, Wei XU, Zhenmin TANG, Fan LIU
<span title="">2014</span> <i title="Institute of Electronics, Information and Communications Engineers (IEICE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xosmgvetnbf4zpplikelekmdqe" style="color: black;">IEICE transactions on information and systems</a> </i> &nbsp;
Last, the color and shape cues are fused in the BoW model to express blobs, and a support vector machine is employed to recognize road signs.  ...  In this paper, we propose a novel method for road sign detection and recognition in complex scene real world images. Our algorithm consists of four basic steps.  ...  For road sign recognition, color and shape cues are fused in a BoW model before vocabulary generation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1587/transinf.2013edp7448">doi:10.1587/transinf.2013edp7448</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xi4au5awercxnpxs3hxsjnsfs4">fatcat:xi4au5awercxnpxs3hxsjnsfs4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20181030203451/https://www.jstage.jst.go.jp/article/transinf/E97.D/9/E97.D_2013EDP7448/_pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/95/a6/95a6dc74aa5525d957e2a8830c90f4c8a2d77dc1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1587/transinf.2013edp7448"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Making better use of edges via perceptual grouping

Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy Hospedales, Yi Li, Jun Guo
<span title="">2015</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ilwxppn4d5hizekyd3ndvy2mii" style="color: black;">2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</a> </i> &nbsp;
We further show how human-like sketches can be generated from edge groupings and consequently used to deliver state-of-the-art sketch-based image retrieval performance.  ...  Last but not least, we tackle the problem of freehand human sketch segmentation by utilizing the proposed grouper to cluster strokes into semantic object parts.  ...  It aims to generate a set of candidate detection boxes (object proposals) that likely contain objects.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cvpr.2015.7298795">doi:10.1109/cvpr.2015.7298795</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cvpr/QiSXZHLG15.html">dblp:conf/cvpr/QiSXZHLG15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bvo6mpnccngvpir4ynvsyybqjm">fatcat:bvo6mpnccngvpir4ynvsyybqjm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150906075747/http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Qi_Making_Better_Use_2015_CVPR_paper.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/54/4f/544f1d132faab3c02273f5cc0c73f5bc758a0ec7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cvpr.2015.7298795"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Facade Proposals for Urban Augmented Reality

Antoine Fond, Marie-Odile Berger, Gilles Simon
<span title="">2017</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ov2wd32qfrczbpod3vobnt275i" style="color: black;">2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)</a> </i> &nbsp;
We prove that this approach is more robust to severe changes of viewpoint and occlusions than standard object recognition methods.  ...  We demonstrate the interest of this procedure for augmented reality through facade recognition and camera pose initialization.  ...  Shape cue Facades are rectangular-shaped, but all rectangles are not as likely to be observed. Indeed, architectural rules allow just a few values of the facade aspect-ratio.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ismar.2017.20">doi:10.1109/ismar.2017.20</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ismar/FondBS17.html">dblp:conf/ismar/FondBS17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pbnakfrukvgo5fhnwxmrb2v5w4">fatcat:pbnakfrukvgo5fhnwxmrb2v5w4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180724002101/https://hal.inria.fr/hal-01562392/document" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0e/67/0e67a5b6f41d8adc929989e55cd7efe6c8024680.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ismar.2017.20"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Neural computations underlying depth perception

Akiyuki Anzai, Gregory C DeAngelis
<span title="">2010</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/k3yjoadbwjdifhgyc2nqlfzg2u" style="color: black;">Current Opinion in Neurobiology</a> </i> &nbsp;
object shape.  ...  3D object shape.  ...  We also thank Andrew Parker for helpful suggestions and comments on the manuscript. Work on this article was supported by National Eye Institute grant EY013644.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.conb.2010.04.006">doi:10.1016/j.conb.2010.04.006</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/20451369">pmid:20451369</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC2883007/">pmcid:PMC2883007</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/z4rt22zgg5enhjft2hrv3lxvgu">fatcat:z4rt22zgg5enhjft2hrv3lxvgu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200429145326/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC2883007&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1c/b6/1cb690f2565d57a6d5e13d84c342e569b860186b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.conb.2010.04.006"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2883007" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

A Novel Multi-layer Framework for Tiny Obstacle Discovery [article]

Feng Xue, Anlong Ming, Menghan Zhou, Yu Zhou
<span title="2019-08-24">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Second, several novel obstacle-aware occlusion edge maps are constructed to well capture the contours of tiny obstacles, which combines cues from each layer.  ...  Nevertheless, because of various reasons, e.g., noise and similar color distribution with background, it is still difficult to detect the edges of tiny obstacles at long distance.  ...  less like an object.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1904.10161v3">arXiv:1904.10161v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jujlg423kbcoxheihegsw4djdy">fatcat:jujlg423kbcoxheihegsw4djdy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200930054027/https://arxiv.org/pdf/1904.10161v2.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/03/90/03909fa409334eaad5246a07d57b2315770eab2f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1904.10161v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation [article]

Holger R. Roth, Le Lu, Nathan Lay, Adam P. Harrison, Amal Farag, Andrew Sohn, Ronald M. Summers
<span title="2017-01-31">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The second, segmentation, phase operates within the computed bounding box and integrates semantic mid-level cues of deeply-learned organ interior and boundary maps, obtained by two additional and separate  ...  The resulting HNN per-pixel probability maps are then fused using pooling to reliably produce a 3D bounding box of the pancreas that maximizes the recall.  ...  ; and deformable statistical shape models for object segmentation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1702.00045v1">arXiv:1702.00045v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lzy565uzsvcnde4bf55zkdxegu">fatcat:lzy565uzsvcnde4bf55zkdxegu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200930162333/https://arxiv.org/pdf/1702.00045v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/99/4f/994f5341cb8baf16a3898716243eb99045e80370.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1702.00045v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Object-based connectedness facilitates matching

Arno Koning, Rob Van Lier
<span title="">2003</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/icivrhnmgzcdjerqdqvofcj4xa" style="color: black;">Perception &amp; Psychophysics</a> </i> &nbsp;
Three relation types were created: IB/OB-connected objects, IB/OB-disconnected objects, and IB-connected/OB-disconnected objects.  ...  In Experiment 1, a monocular depth cue (shadow) was used to distinguish different relation types between object pairs.  ...  Using a rapid serial visual presentation paradigm, Saiki and Hummel found a facilitation for the recognition of connected shapes, as compared with disconnected shapes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3758/bf03194836">doi:10.3758/bf03194836</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/14674635">pmid:14674635</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/grpoxye6gnettlbvm6l6stkt2m">fatcat:grpoxye6gnettlbvm6l6stkt2m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180726102150/https://link.springer.com/content/pdf/10.3758%2FBF03194836.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/23/89/238920bbf77bcd9532f62e7a0ffb6ec6298b528c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3758/bf03194836"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Gland Instance Segmentation Using Deep Multichannel Neural Networks [article]

Yan Xu, Yang Li, Yipei Wang, Mingyuan Liu, Yubo Fan, Maode Lai, Eric I-Chao Chang
<span title="2016-12-03">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Methods: We leverage the idea of image-to-image prediction in recent deep learning by designing an algorithm that automatically exploits and fuses complex multichannel information - regional, location,  ...  and boundary cues - in gland histology images.  ...  The objects in natural images are regular-shaped, and relatively easy to segment by first creating bounding boxes for each one.  ... 
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A survey on still image based human action recognition

Guodong Guo, Alice Lai
<span title="">2014</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jm6w2xclfzguxnhmnmq5omebpi" style="color: black;">Pattern Recognition</a> </i> &nbsp;
We present a detailed overview of the state-of-theart methods for still image-based action recognition, and categorize and describe various high-level cues and low-level features for action analysis in  ...  Based on the emerging research in recent years, it is time to review the existing approaches to still image-based action recognition and inspire more efforts to advance the field of research.  ...  Acknowledgments The authors thank the anonymous reviewers for their helpful suggestions and comments to improve the paper.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.patcog.2014.04.018">doi:10.1016/j.patcog.2014.04.018</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wja5p7wgf5e2jkfst2w33zv5jy">fatcat:wja5p7wgf5e2jkfst2w33zv5jy</a> </span>
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Manipulated Object Proposal: A Discriminative Object Extraction and Feature Fusion Framework for First-Person Daily Activity Recognition [article]

Changzhi Luo, Bingbing Ni, Jun Yuan, Jianfeng Wang, Shuicheng Yan, Meng Wang
<span title="2016-05-31">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Our object feature extraction and representation pipeline is inspired by the recent success of object hypotheses and deep convolutional neural network based detection frameworks.  ...  Detecting and recognizing objects interacting with humans lie in the center of first-person (egocentric) daily activity recognition.  ...  Most of these algorithms make use of objectness information including edge, texture, shape, and depth, etc., to rapidly filter out image areas that are unlikely to contain objects, and then output areas  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1509.00651v3">arXiv:1509.00651v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o42zs5zmebgnzmshth5vba2274">fatcat:o42zs5zmebgnzmshth5vba2274</a> </span>
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