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Analyzing and shaping human attentional networks

Michael I. Posner, Brad E. Sheese, Yalçin Odludaş, YiYuan Tang
<span title="">2006</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oml24fsyizfuhn3rn5np75ubdi" style="color: black;">Neural Networks</a> </i> &nbsp;
Our goal is to show the wide range of methods that can be used to suggest and analyze models of network function in the study of attention. (M.I.  ...  Imaging of human task performance has identified another level of network function, which is clearly related to both the models and the underlying cellular structure by showing that a number of quite separate  ...  development of the network and individual differences by examining how genes and experience interact to shape the executive attention network.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neunet.2006.08.004">doi:10.1016/j.neunet.2006.08.004</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/17059879">pmid:17059879</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k6i2qdibnjb3jadie4uiclei7a">fatcat:k6i2qdibnjb3jadie4uiclei7a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20100827002029/http://www.yi-yuan.net:80/english/PAPERS/PAPERS06-07/2006%20Neuro%20Netw%20Posner%20MI.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/d2/42/d2421cf372e1e3c4c56a1e818530ea93ebc26248.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neunet.2006.08.004"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Are Convolutional Neural Networks or Transformers more like human vision? [article]

Shikhar Tuli, Ishita Dasgupta, Erin Grant, Thomas L. Griffiths
<span title="2021-07-01">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Our focus is on comparing a suite of standard Convolutional Neural Networks (CNNs) and a recently-proposed attention-based network, the Vision Transformer (ViT), which relaxes the translation-invariance  ...  Attention-based networks have previously been shown to achieve higher accuracy than CNNs on vision tasks, and we demonstrate, using new metrics for examining error consistency with more granularity, that  ...  We see that recently proposed Transformer networks not only outperform CNNs on accuracy for image classification tasks, but also have higher shape bias and are largely more consistent with human errors  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2105.07197v2">arXiv:2105.07197v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fp2zrwh3zrcbrdmujlagxqqk6y">fatcat:fp2zrwh3zrcbrdmujlagxqqk6y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210713131254/https://arxiv.org/pdf/2105.07197v2.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/c7/65/c7650fe09c2b34e43646e785e09aefe290247e52.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2105.07197v2" 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>

An automatic road sign recognition system based on a computational model of human recognition processing

C.Y. Fang, C.S. Fuh, P.S. Yen, S. Cherng, S.W. Chen
<span title="">2004</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dsarpzh6wfgadnyijwv5l6gh2i" style="color: black;">Computer Vision and Image Understanding</a> </i> &nbsp;
The extracted information then serves as the input stimuli to a spatiotemporal attentional (STA) neural network in the perceptual analyzer.  ...  The proposed recognition system is motivated by human recognition processing. The system consists of three major components: sensory, perceptual, and conceptual analyzers.  ...  Bailey of National Taiwan Normal University for his many helpful suggestions in writing this paper and for editing the English.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.cviu.2004.02.007">doi:10.1016/j.cviu.2004.02.007</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/halndpgwcbhznfdatntdojj5yu">fatcat:halndpgwcbhznfdatntdojj5yu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20100214234653/http://techlab.bu.edu:80/files/resources/articles_tt/An%20automatic%20road%20sign%20recognition%20system%20based%20on%20a%20computational%20model%20of%20human%20recognition%20processing.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/a2/aa/a2aaa4fa32b039e33090fddec5a1043786f2d511.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.cviu.2004.02.007"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Pedestrian Validation in Infrared Images by Means of Active Contours and Neural Networks

Massimo Bertozzi, Pietro Cerri, Mirko Felisa, Stefano Ghidoni, Michael Del Rose
<span title="2010-05-10">2010</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hqblpsydr5emviirtqkkmctpha" style="color: black;">EURASIP Journal on Advances in Signal Processing</a> </i> &nbsp;
The first module detects the presence of a human shape in a list of areas of attention using active contours to detect the object shape and evaluating the results by means of a neural network.  ...  The second validation subsystem directly exploits a neural network for each area of attention in the far-infrared images and produces a list of votes.  ...  Figure 12 Classification results of the neural network analyzing pedestrians shapes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2010/752567">doi:10.1155/2010/752567</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sg62wlvifratlfdxxth3gcplri">fatcat:sg62wlvifratlfdxxth3gcplri</a> </span>
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Self-Attentive 3D Human Pose and Shape Estimation from Videos [article]

Yun-Chun Chen, Marco Piccirilli, Robinson Piramuthu, Ming-Hsuan Yang
<span title="2021-09-07">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We consider the task of estimating 3D human pose and shape from videos.  ...  In this work, we present a video-based learning algorithm for 3D human pose and shape estimation. The key insights of our method are two-fold.  ...  In this paper, we propose the Self-attentive Pose and Shape Network (SPS-Net) for 3D human pose and shape estimation from videos. Our key insights are two-fold.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2103.14182v2">arXiv:2103.14182v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2ve7vmgkqvfl3kav4zdt5qiuv4">fatcat:2ve7vmgkqvfl3kav4zdt5qiuv4</a> </span>
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Selective visual attention in object recognition and scene analysis

Adilson Gonzaga, Evelina M. de Almeida Neves, Annie F. Frere, Andrew G. Tescher
<span title="1998-10-01">1998</span> <i title="SPIE"> Applications of Digital Image Processing XXI </i> &nbsp;
There are two major theories to explain the Human visual attention.  ...  An important feature of Human visual system is the ability of selective visual attention.  ...  Part of them represent computational models of human attention, and are directly based on some biological evidence.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.323179">doi:10.1117/12.323179</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4oospez2ancs3biq3u5kiwgnpa">fatcat:4oospez2ancs3biq3u5kiwgnpa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809144815/http://iris.sel.eesc.usp.br/lavi/pdf/e_spie98.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/46/b7/46b787aca298aa70edc9b2dfdcd429b7c51b9a10.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.323179"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Bringing symmetry between and within safety and security cultures in high-risk organizations

Colin Glesner, Michiel Van Oudheusden, Catrinel Turcanu, Catherine Fallon
<span title="">2020</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q5373jvvvjahfp6h7ihnvmjjnq" style="color: black;">Safety Science</a> </i> &nbsp;
It thereby seeks to make visible the mutual shaping of safety and security cultures and attend to the roles of non-human actors as active participants in such processes.  ...  To address these gaps, the article introduces concepts and heuristics from Science and Technology Studies, specifically co-production and Actor-Network Theory.  ...  They urge us to account for the mutual shaping of human and non-human worlds (second gap).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ssci.2020.104950">doi:10.1016/j.ssci.2020.104950</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ro7eikyihbgundq2sjcmahpfom">fatcat:ro7eikyihbgundq2sjcmahpfom</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201104165245/https://orbi.uliege.be/bitstream/2268/251110/1/2020%20c.glesner%20et%20al%20bringing%20symmetry%20between%20and%20within%20safety%20and%20security%20cultures.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/6f/bc/6fbca28f979ba1875a40b3a8f1fe3bd5e258208c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ssci.2020.104950"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Understanding the computational demands underlying visual reasoning [article]

Mohit Vaishnav, Remi Cadene, Andrea Alamia, Drew Linsley, Rufin VanRullen, Thomas Serre
<span title="2021-12-09">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Prior cognitive neuroscience work suggests that attention plays a key role in humans' visual reasoning ability.  ...  In a second series of experiments, we evaluated the ability of these attention networks to learn to solve the SVRT challenge and found the resulting architectures to be much more efficient at solving the  ...  Additional support was provided by the ANR-3IA Artificial and Natural Intelligence Toulouse Institute (ANR-19-PI3A-0004), the Center for Computation and Visualization (CCV) and High Performance Computing  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.03603v2">arXiv:2108.03603v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qnylgwdicvgwfm7a6umxrea2ta">fatcat:qnylgwdicvgwfm7a6umxrea2ta</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211211084557/https://arxiv.org/pdf/2108.03603v2.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/e7/51/e751c865595eed2c073f6709a7ad4350c6dd6be9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.03603v2" 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>

An Illumination Invariant Face Detection Based on Human Shape Analysis and Skin Color Information

Dibakar Chakraborty
<span title="2012-06-30">2012</span> <i title="Academy and Industry Research Collaboration Center (AIRCC)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i7obmiunyvar3l3fqzlsf6homq" style="color: black;">Signal &amp; Image Processing An International Journal</a> </i> &nbsp;
This paper provides a novel approach towards face area localization through analyzing the shape characteristics of human body.  ...  For ensuring face area skin color information is also analyzed.  ...  the attentional cascade structure.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/sipij.2012.3305">doi:10.5121/sipij.2012.3305</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gcjv4v4ranf5pndhtlzyi774yi">fatcat:gcjv4v4ranf5pndhtlzyi774yi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20181222180438/http://aircconline.com:80/sipij/V3N3/3312sipij05.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/ba/53/ba5313f1ec4186bb44a1ab6b10d9ae14d779dfbd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/sipij.2012.3305"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Through-Wall Human Mesh Recovery Using Radio Signals

Mingmin Zhao, Yingcheng Liu, Aniruddh Raghu, Hang Zhao, Tianhong Li, Antonio Torralba, Dina Katabi
<span title="">2019</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/753trptklbb4nj6jquqadzwwdu" style="color: black;">2019 IEEE/CVF International Conference on Computer Vision (ICCV)</a> </i> &nbsp;
(a) shows the estimated human meshes of the same person in sportswear, a baggy costume and when he is behind the wall.  ...  (b) shows the dynamic meshes that capture the motion when the person walks, waves his hand, and sits.  ...  Acknowledgments: We are grateful to all the human subjects for their contribution to our dataset. We thank the CSAIL members for their insightful comments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccv.2019.01021">doi:10.1109/iccv.2019.01021</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/iccv/ZhaoLRZL0K19.html">dblp:conf/iccv/ZhaoLRZL0K19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d3qrriyv3vgjbguams5atoge2e">fatcat:d3qrriyv3vgjbguams5atoge2e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220120213845/https://dspace.mit.edu/bitstream/handle/1721.1/129671/rf-avatar.pdf;jsessionid=53AE9E5834C7606C5E9D3B1F1AABA6D7?sequence=2" 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/65/a1/65a1bdbf2d994e85eb4c2e417dc89c50b56540c2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccv.2019.01021"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Creative exploration as a scale-invariant search on a meaning landscape

Yuval Hart, Hagar Goldberg, Ella Striem-Amit, Avraham E. Mayo, Lior Noy, Uri Alon
<span title="2018-12-21">2018</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/a4wan6l5o5dfzn767kyz7jqevi" style="color: black;">Nature Communications</a> </i> &nbsp;
We thus suggest FCD as a specific mechanism for scale invariant search, connecting sensory processes of cells and cognitive processes in human.  ...  Can knowledge accumulated in systems biology on mechanisms governing cell behavior help us to elucidate cognitive processes, such as human creative search?  ...  Acknowledgements We thank the Braginsky Center for the Interface between Science and the Humanities, at the Weizmann Institute of Science, for support.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41467-018-07715-8">doi:10.1038/s41467-018-07715-8</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30575714">pmid:30575714</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6303308/">pmcid:PMC6303308</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4smuou6etfdg3chfd3pqu35toa">fatcat:4smuou6etfdg3chfd3pqu35toa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200314160327/https://www.nature.com/articles/s41467-018-07715-8.pdf?error=cookies_not_supported&amp;code=dfa76bd4-2455-42fb-a5d0-de2573c37944" 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/cc/07/cc074e64d74be1f1c94c785368adc49d0c57e34c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41467-018-07715-8"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> nature.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303308" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video [article]

Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Hong-Yuan Mark Liao
<span title="2022-03-16">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
To address this problem, we propose a motion pose and shape network (MPS-Net) to effectively capture humans in motion to estimate accurate and temporally coherent 3D human pose and shape from a video.  ...  Learning to capture human motion is essential to 3D human pose and shape estimation from monocular video.  ...  Overview of our motion pose and shape network (MPS-Net).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.08534v1">arXiv:2203.08534v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sp2oxin5trajhfiinraxc3gadq">fatcat:sp2oxin5trajhfiinraxc3gadq</a> </span>
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Leveraging the Flow of Collective Attention for Computational Communication Research [article]

Cheng-Jun Wang, Zhi-Cong Chen, Qiang Qin, Naipeng Chao
<span title="2017-10-21">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Human attention becomes an increasingly important resource for our understanding or collective human behaviors in the age of information explosion.  ...  We quantify the flow of collective attention by computing the flow network statistics, such as flow impact, flow dissipation, and flow distance.  ...  Attention Flow Network Network science provides a new perspective to analyze the flow of collective attention.  ... 
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Machine Learning-Based Gynecologic Tumor Diagnosis and Its Postoperative Incisional Infection Influence Factor Analysis

Qian Shen, Ling Wang, Rahim Khan
<span title="2021-11-23">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cswd2rqrire6lgrsm56kv4adue" style="color: black;">Journal of Healthcare Engineering</a> </i> &nbsp;
Various factors influencing postoperative incisional infection in gynecologic tumors were analyzed, and the value of quality nursing intervention was studied.  ...  The adaptive neural network model for breast cancer diagnosis prediction was constructed and, finally, relevant parameters of the adaptive neural network model were adjusted according to different tasks  ...  Collection and assembly of data were performed by all authors. Data analysis and interpretation were performed by all authors. Manuscript writing was carried out by all authors.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/7956184">doi:10.1155/2021/7956184</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34858564">pmid:34858564</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8632385/">pmcid:PMC8632385</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jaumepndwrcallamppt2zow6ja">fatcat:jaumepndwrcallamppt2zow6ja</a> </span>
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PartGlot: Learning Shape Part Segmentation from Language Reference Games [article]

Juil Koo, Ian Huang, Panos Achlioptas, Leonidas Guibas, Minhyuk Sung
<span title="2022-03-30">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Our network is designed to solve this target discrimination problem, carefully incorporating a Transformer-based attention module so that the output attention can precisely highlight the semantic part  ...  We exploit the fact that linguistic descriptions of a shape can provide priors on the shape's parts -- as natural language has evolved to reflect human perception of the compositional structure of objects  ...  Natural language reflects this aspect of human perception of 3D shapes -when a human is asked to describe an object, the description usually involves words naming parts and expressions about part attributes  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.06390v2">arXiv:2112.06390v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wvpdbuengjbhphnqfyvzotfvcu">fatcat:wvpdbuengjbhphnqfyvzotfvcu</a> </span>
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