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Effective Fusion of Deep Multitasking Representations for Robust Visual Tracking [article]

Seyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan, Shohreh Kasaei, Kamal Nasrollahi, Thomas B. Moeslund
<span title="2021-09-20">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
terms of precision and robustness of visual tracking.  ...  This paper aims to evaluate the performance of twelve state-of-the-art ResNet-based FENs in a DCF-based framework to determine the best for visual tracking purposes.  ...  Compliance with Ethical Standards (Conflict of Interest): All authors declare that they have no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.01382v2">arXiv:2004.01382v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hsns3y46g5c7vdghlmgbzlniji">fatcat:hsns3y46g5c7vdghlmgbzlniji</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210923020458/https://arxiv.org/pdf/2004.01382v2.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/2f/37/2f37995ab4bd10172a1010ee8ed247278a4ba946.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.01382v2" 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>

Multi-Task Multi-Source Deep Correlation Filter for Remote Sensing Data Fusion

Xu Cheng, Yuhui Zheng, Jianwei Zhang, Zhangjing Yang
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b2n2tpw5ang73osulebz6bm4ju" style="color: black;">IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing</a> </i> &nbsp;
In this article, we propose a multitask multisource information fusion method in the deep learning and correlation filter frameworks, which is applied to the fields of tracking and remote sensing data  ...  Third, we further extend the proposed approach to the field of remote sensing for semantic labeling. The layers' sensitivity is utilized to verify the robustness of different classes.  ...  PROPOSED TRACKING METHOD In this section, we introduce an effective multitask multisource fusion method for object tracking in deep learning and correlation filter frameworks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jstars.2020.3002885">doi:10.1109/jstars.2020.3002885</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sbp5zi7wbzdadb37co3qsaychi">fatcat:sbp5zi7wbzdadb37co3qsaychi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429150754/https://ieeexplore.ieee.org/ielx7/4609443/8994817/09119205.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/13/31/1331b6fd1d021a68c577faec37f7146add707b61.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jstars.2020.3002885"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Machine learning for big visual analysis

Jun Yu, Xue Mei, Fatih Porikli, Jason Corso
<span title="2018-06-23">2018</span> <i title="Springer Nature America, Inc"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lvjqpr55r5fcfpfbeu7qp2jwgm" style="color: black;">Machine Vision and Applications</a> </i> &nbsp;
The article entitled "Hierarchical convolutional features for end-to-end representation based visual tracking" proposed a novel simple tracker with deep learning to complete the tracking task.  ...  Deep learning for visual analysis The article entitled "Panchromatic and multi-spectral image fusion for new satellites based on multi-channel deep model" proposed a novel method based on the multi-channel  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00138-018-0948-5">doi:10.1007/s00138-018-0948-5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/puwirktcpjg5bdfc4wxvuw77ua">fatcat:puwirktcpjg5bdfc4wxvuw77ua</a> </span>
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VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry

Noha Radwan, Abhinav Valada, Wolfram Burgard
<span title="">2018</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/g32gcto57vduveq2eb7bes5y7a" style="color: black;">IEEE Robotics and Automation Letters</a> </i> &nbsp;
, for the mutual benefit of each of these tasks.  ...  Finally, we introduce a first-of-a-kind urban outdoor localization dataset with pixel-level semantic labels and multiple loops for training deep networks.  ...  Multitask Learning In this section, we primarily investigate the effectiveness of employing our proposed adaptive fusion layer for encoding semantic information and aggregating motion-specific information  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/lra.2018.2869640">doi:10.1109/lra.2018.2869640</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/journals/ral/RadwanVB18.html">dblp:journals/ral/RadwanVB18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vjrqodejefgonbqti7xtfvw64a">fatcat:vjrqodejefgonbqti7xtfvw64a</a> </span>
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SiamFF: Visual Tracking with a Siamese Network Combining Information Fusion with Rectangular Window Filtering

Yuan Luo, Yuanxiao Cai, Boyu Wang, Jie Wang, Yanjie Wang
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
INDEX TERMS Deep learning, visual tracking, Siamese network, multilevel fusion, rectangular window filtering.  ...  However, traditional trackers have poor robustness against similar objects due to the use of single deep features and the limitation of cosine windows.  ...  ACKNOWLEDGMENT The authors would like to thank the reviewers for valuable suggestions to improve this paper and the subjects for participation in the experiment.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3004992">doi:10.1109/access.2020.3004992</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3eqftzw6zbfjlk3dxfruckx4my">fatcat:3eqftzw6zbfjlk3dxfruckx4my</a> </span>
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COMET: Context-Aware IoU-Guided Network for Small Object Tracking [article]

Seyed Mojtaba Marvasti-Zadeh, Javad Khaghani, Hossein Ghanei-Yakhdan, Shohreh Kasaei, Li Cheng
<span title="2020-09-18">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We consider the problem of tracking an unknown small target from aerial videos of medium to high altitudes.  ...  Empirically, COMET outperforms the state-of-the-arts in a range of aerial view datasets that focusing on tracking small objects.  ...  and major effectiveness of COMET for small object tracking.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.02597v3">arXiv:2006.02597v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/m2jmlmdryvbplfv6xkhgm6jxzi">fatcat:m2jmlmdryvbplfv6xkhgm6jxzi</a> </span>
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Multiresolution and Multimodal Speech Recognition with Transformers [article]

Georgios Paraskevopoulos, Srinivas Parthasarathy, Aparna Khare, Shiva Sundaram
<span title="2020-04-29">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We extract representations for audio features in the encoder layers of the transformer and fuse video features using an additional crossmodal multihead attention layer.  ...  Additionally, we incorporate a multitask training criterion for multiresolution ASR, where we train the model to generate both character and subword level transcriptions.  ...  This reduces the model parameters and enhances the regularization effect of multitask learning.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.14840v1">arXiv:2004.14840v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/no5v5ttvobdx5n7mfd4d5n6nju">fatcat:no5v5ttvobdx5n7mfd4d5n6nju</a> </span>
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A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets

Khaled Bayoudh, Raja Knani, Fayçal Hamdaoui, Abdellatif Mtibaa
<span title="2021-06-10">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yx6ragzaojavld2pw4coglzb2e" style="color: black;">The Visual Computer</a> </i> &nbsp;
In particular, we summarize six perspectives from the current literature on deep multimodal learning, namely: multimodal data representation, multimodal fusion (i.e., both traditional and deep learning-based  ...  Extracting relevant patterns from this kind of data is still a motivating goal for researchers in deep learning.  ...  Visual tracking For decades, visual tracking has been one of the major challenges for the computer vision community. The objective is to observe the motion of a given object in real time.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00371-021-02166-7">doi:10.1007/s00371-021-02166-7</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34131356">pmid:34131356</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8192112/">pmcid:PMC8192112</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jojwyc6slnevzk7eaiutlmlgfe">fatcat:jojwyc6slnevzk7eaiutlmlgfe</a> </span>
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Multimodal SpeakerBeam: Single Channel Target Speech Extraction with Audio-Visual Speaker Clues

Tsubasa Ochiai, Marc Delcroix, Keisuke Kinoshita, Atsunori Ogawa, Tomohiro Nakatani
<span title="2019-09-15">2019</span> <i title="ISCA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/trpytsxgozamtbp7emuvz2ypra" style="color: black;">Interspeech 2019</a> </i> &nbsp;
Recently, with the advent of deep learning, there has been significant progress in the processing of speech mixtures.  ...  For example, audio clues derived from an auxiliary utterance spoken by the target speaker have been used to characterize the target speaker.  ...  Introduction The recent development of deep learning has led to the active investigation of neural network-based single channel source separation approaches for the enhancement of speech signals corrupted  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21437/interspeech.2019-1513">doi:10.21437/interspeech.2019-1513</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/interspeech/OchiaiDKON19.html">dblp:conf/interspeech/OchiaiDKON19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oymq2onnhbb4lnf66pmze5ppbi">fatcat:oymq2onnhbb4lnf66pmze5ppbi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211209021732/https://www.isca-speech.org/archive/pdfs/interspeech_2019/ochiai19_interspeech.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/0d/09/0d09d1c92ba1e0497a8414c596fe46ff512c7e1e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21437/interspeech.2019-1513"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

2021 Index IEEE Transactions on Multimedia Vol. 23

<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sbzicoknnzc3tjljn7ifvwpooi" style="color: black;">IEEE transactions on multimedia</a> </i> &nbsp;
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, TMM 2021 120-132 STGL: Spatial-Temporal Graph Representation and Learning for Visual Tracking.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tmm.2022.3141947">doi:10.1109/tmm.2022.3141947</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lil2nf3vd5ehbfgtslulu7y3lq">fatcat:lil2nf3vd5ehbfgtslulu7y3lq</a> </span>
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Audiovisual Fusion: Challenges and New Approaches

Aggelos K. Katsaggelos, Sara Bahaadini, Rafael Molina
<span title="">2015</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yfvtieuumfamvmjlc255uckdlm" style="color: black;">Proceedings of the IEEE</a> </i> &nbsp;
This paper reviews recent results in audiovisual fusion and discusses main challenges in the area with a focus on desynchronization of the two modalities and the issue of training and testing where one  ...  of the modalities might be absent from testing.  ...  Livescu for the fruitful discussions regarding the paper and Dr. L. Terry for making material available from his Ph.D. dissertation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jproc.2015.2459017">doi:10.1109/jproc.2015.2459017</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/b4etlwgsvndmxmyc5wjvl75y3y">fatcat:b4etlwgsvndmxmyc5wjvl75y3y</a> </span>
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2021 Index IEEE Transactions on Image Processing Vol. 30

<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dhlhr4jqkbcmdbua2ca45o7kru" style="color: black;">IEEE Transactions on Image Processing</a> </i> &nbsp;
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, TIP +, TIP 2021 4587-4598 Gallium compounds Exploring the Effects of Blur and Deblurring to Visual Object Tracking.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tip.2022.3142569">doi:10.1109/tip.2022.3142569</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/z26yhwuecbgrnb2czhwjlf73qu">fatcat:z26yhwuecbgrnb2czhwjlf73qu</a> </span>
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Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction [article]

Yikai Wang, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao
<span title="2021-12-04">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
For the application of dense image prediction, the validity of CEN is tested by four different scenarios: multimodal fusion, cycle multimodal fusion, multitask learning, and multimodal multitask learning  ...  In this paper, we propose Channel-Exchanging-Network (CEN) which is self-adaptive, parameter-free, and more importantly, applicable for both multimodal fusion and multitask learning.  ...  fusion or multitask studied in network pruning [25], [26] and representation knowledge transfer. learning [60].  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.02252v1">arXiv:2112.02252v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ul4gs5dajjc5lecol6psabn4pu">fatcat:ul4gs5dajjc5lecol6psabn4pu</a> </span>
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Deep Auxiliary Learning for Visual Localization and Odometry [article]

Abhinav Valada and Noha Radwan and Wolfram Burgard
<span title="2018-03-09">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
achieving competitive performance for visual odometry estimation.  ...  Furthermore, we present extensive experimental evaluations utilizing our proposed Geometric Consistency Loss that show the effectiveness of multitask learning and demonstrate that our model is the first  ...  VLocNet: Multitask deep convolutional neural network for 6-DoF visual localization and odometry.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1803.03642v1">arXiv:1803.03642v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/q5dyoxtk7zf2bjbvdevx6udcam">fatcat:q5dyoxtk7zf2bjbvdevx6udcam</a> </span>
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A Cross-Modal Image Fusion Method Guided by Human Visual Characteristics [article]

Aiqing Fang and Xinbo Zhao and Jiaqi Yang and Yanning Zhang
<span title="2020-06-20">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Inspired by the characteristics of human visual perception, we propose a robust multi-task auxiliary learning optimization image fusion theory.  ...  The experimental results demonstrate the superiority of our fusion theory over state-of-arts in generality and robustness.  ...  Our method has a good fusion effect for image details, and the fusion effect is more coincident with the human visual perception mechanism.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1912.08577v4">arXiv:1912.08577v4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lajicugsc5cllpjzihqag6tcda">fatcat:lajicugsc5cllpjzihqag6tcda</a> </span>
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