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In computer vision, it is often observed that formulating regression problems as a classification task often yields better performance.
Ica based on a smooth estimation of the differential entropy
Lev Faivishevsky and Jacob Goldberger · 2008
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Nonparametric information theoretic clustering algorithm
Lev Faivishevsky and Jacob Goldberger · 2010
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Indoor segmentation and support inference from rgbd images
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Joint training of a convolutional network and a graphical model for human pose estimation
Jonathan J Tompson, Arjun Jain, Yann LeCun, and Christoph Bregler · 2014
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Dex: Deep expectation of apparent age from a single image
Rasmus Rothe, Radu Timofte, and Luc Van Gool · 2015
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Cross-scene crowd counting via deep convolutional neural networks
Cong Zhang, Hongsheng Li, Xiaogang Wang, and Xiaokang Yang · 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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Deeper depth prediction with fully convolutional residual networks
Iro Laina, Christian Rupprecht, Vasileios Belagiannis, Federico Tombari, and Nassir Navab · 2016
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Stacked hourglass networks for human pose estimation
Alejandro Newell, Kaiyu Yang, and Jia Deng · 2016
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Estimating depth from monocular images as classification using deep fully convolutional residual networks
Yuanzhouhan Cao, Zifeng Wu, and Chunhua Shen · 2017
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Regularizing prediction entropy enhances deep learning with limited data
Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, Iyad Rahwan, and Nikhil Naik · 2017
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Regularizing neural networks by penalizing confident output distributions
Gabriel Pereyra, George Tucker, Jan Chorowski, Łukasz Kaiser, and Geoffrey Hinton · 2017
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Opening the black box of deep neural networks via information
Ravid Shwartz-Ziv and Naftali Tishby · 2017
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Deep ordinal regression network for monocular depth estimation
Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, and Dacheng Tao · 2018
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Csrnet: Dilated convolutional neural networks for understanding the highly congested scenes
Yuhong Li, Xiaofan Zhang, and Deming Chen · 2018
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Removing the bias of integral pose regression
Kerui Gu, Linlin Yang, and Angela Yao · 2021
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Learning nonlinear operators via deeponet based on the universal approximation theorem of operators
Lu Lu, Pengzhan Jin, Guofei Pang, Zhongqiang Zhang, and George Em Karniadakis · 2021
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Delving into deep imbalanced regression
Yuzhe Yang, Kaiwen Zha, Yingcong Chen, Hao Wang, and Dina Katabi · 2021
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A simple log-based loss function for ordinal text classification
François Castagnos, Martin Mihelich, and Charles Dognin · 2022
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RankSim: Ranking similarity regularization for deep imbalanced regression
Yu Gong, Greg Mori, and Frederick Tung · 2022
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Dive deeper into integral pose regression
Kerui Gu, Linlin Yang, and Angela Yao · 2022
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From big to small: Multi-scale local planar guidance for monocular depth estimation
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When does label smoothing help?
Rafael Müller, Simon Kornblith, and Geoffrey E Hinton · 2019
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A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, and Ismail Ben Ayed · 2020
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Distribution-aware coordinate representation for human pose estimation
Feng Zhang, Xiatian Zhu, Hanbin Dai, Mao Ye, and Ce Zhu · 2020
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Adabins: Depth estimation using adaptive bins
Shariq Farooq Bhat, Ibraheem Alhashim, and Peter Wonka · 2021
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Counting objects by blockwise classification
Liang Liu, Hao Lu, Haipeng Xiong, Ke Xian, Zhiguo Cao, and Chunhua Shen
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Large-scale long-tailed recognition in an open world
Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, and Stella X Yu
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Simcc: a simple coordinate classification perspective for human pose estimation
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Class distance weighted cross-entropy loss for ulcerative colitis severity estimation
Gorkem Polat, Ilkay Ergenc, Haluk Tarik Kani, Yesim Ozen Alahdab, Ozlen Atug, and Alptekin Temizel · 2022
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Discrete-constrained regression for local counting models
Haipeng Xiong and Angela Yao · 2022
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New crfs: Neural window fully-connected crfs for monocular depth estimation
Weihao Yuan, Xiaodong Gu, Zuozhuo Dai, Siyu Zhu, and Ping Tan · 2022
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