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Affordance detection refers to identifying the potential action possibilities of objects in an image, which is an important ability for robot perception and manipulation.
Maximum likelihood from incomplete data via the em algorithm
Arthur P Dempster, Nan M Laird, and Donald B Rubin · 1977
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The theory of affordances
James J Gibson · 1977
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Affordances and the body: An intentional analysis of gibson’s ecological approach to visual perception
Harry Heft · 1989
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Predicting visual fixations on video based on low-level visual features
Olivier Le Meur, Patrick Le Callet, and Dominique Barba · 2007
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Saliency filters: Contrast based filtering for salient region detection
Federico Perazzi, Philipp Krähenbühl, Yael Pritch, and Alexander Hornung · 2012
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Siamese neural networks for one-shot image recognition
Gregory Koch, Richard Zemel, and Ruslan Salakhutdinov · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Affordance detection of tool parts from geometric features
Austin Myers, Ching L Teo, Cornelia Fermüller, and Yiannis Aloimonos · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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One-shot learning for semantic segmentation
Amirreza Shaban, Shray Bansal, Zhen Liu, Irfan Essa, and Byron Boots · 2017
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Prototypical networks for few-shot learning
Jake Snell, Kevin Swersky, and Richard Zemel · 2017
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Pyramid scene parsing network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2017
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Scene parsing through ade20k dataset
Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, and Antonio Torralba · 2017
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Learning to act properly: Predicting and explaining affordances from images
Ching-Yao Chuang, Jiaman Li, Antonio Torralba, and Sanja Fidler · 2018
Cited alongside, same era.
Basnet: Boundary-aware salient object detection
Xuebin Qin, Zichen Zhang, Chenyang Huang, Chao Gao, Masood Dehghan, and Martin Jagersand · 2019
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Cascaded partial decoder for fast and accurate salient object detection
Zhe Wu, Li Su, and Qingming Huang · 2019
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On exploring undetermined relationships for visual relationship detection
Yibing Zhan, Jun Yu, Ting Yu, and Dacheng Tao · 2019
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One-shot texture retrieval with global context metric
Kai Zhu, Wei Zhai, Zheng-Jun Zha, and Yang Cao · 2019
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Recursive context routing for object detection
Zhe Chen, Jing Zhang, and Dacheng Tao · 2020
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Highly efficient salient object detection with 100k parameters
Shang-Hua Gao, Yong-Qiang Tan, Ming-Ming Cheng, Chengze Lu, Yunpeng Chen, and Shuicheng Yan · 2020
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Enhanced-alignment measure for binary foreground map evaluation
Deng-Ping Fan, Cheng Gong, Yang Cao, Bo Ren, Ming-Ming Cheng, and Ali Borji · 2018
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Demo2vec: Reasoning object affordances from online videos
Kuan Fang, Te-Lin Wu, Daniel Yang, Silvio Savarese, and Joseph J. Lim · 2018
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Visual affordance and function understanding: A survey
Mohammed Hassanin, Salman Khan, and Murat Tahtali · 2018
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One-shot segmentation in clutter
Claudio Michaelis, Matthias Bethge, and Alexander S Ecker · 2018
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Expectation-maximization attention networks for semantic segmentation
Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, and Hong Liu · 2019
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Auto learning attention
Benteng Ma, Jing Zhang, Yong Xia, and Dacheng Tao · 2020
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Multi-task compositional network for visual relationship detection
Yibing Zhan, Jun Yu, Ting Yu, and Dacheng Tao · 2020
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Empowering things with intelligence: A survey of the progress, challenges, and opportunities in artificial intelligence of things
Jing Zhang and Dacheng Tao · 2020
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Re-thinking co-salient object detection
Deng-Ping Fan, Tengpeng Li, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Ming-Ming Cheng, Huazhu Fu, and Jianbing Shen · 2021
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Progressive one-shot human parsing
Haoyu He, Jing Zhang, Bhavani Thuraisingham, and Dacheng Tao · 2021
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