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A Simple Parametric Classification Baseline for Generalized Category Discovery


Nov 21, 2022
Xin Wen, Bingchen Zhao, Xiaojuan Qi

* Code: https://github.com/CVMI-Lab/SimGCD 

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XCon: Learning with Experts for Fine-grained Category Discovery


Aug 03, 2022
Yixin Fei, Zhongkai Zhao, Siwei Yang, Bingchen Zhao


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Self-Supervised Visual Representation Learning with Semantic Grouping


May 30, 2022
Xin Wen, Bingchen Zhao, Anlin Zheng, Xiangyu Zhang, Xiaojuan Qi


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Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective


Mar 08, 2022
Quan Cui, Bingchen Zhao, Zhao-Min Chen, Borui Zhao, Renjie Song, Jiajun Liang, Boyan Zhou, Osamu Yoshie

* First two authors contributed equally 

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ROBIN : A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts


Dec 02, 2021
Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan Yuille, Adam Kortylewski

* Project webpage: https://bzhao.me/ROBIN/ 

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Improving Contrastive Learning by Visualizing Feature Transformation


Aug 06, 2021
Rui Zhu, Bingchen Zhao, Jingen Liu, Zhenglong Sun, Chang Wen Chen

* ICCV 2021(Oral), supplementary materials included. Codes and visualization tools: https://github.com/DTennant/CL-Visualizing-Feature-Transformation 

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Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation


Jul 07, 2021
Bingchen Zhao, Kai Han


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Rail-5k: a Real-World Dataset for Rail Surface Defects Detection


Jun 28, 2021
Zihao Zhang, Shaozuo Yu, Siwei Yang, Yu Zhou, Bingchen Zhao


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Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization


Jun 06, 2021
Siwei Yang, Shaozuo Yu, Bingchen Zhao, Yin Wang

* CVPR2020 AgriVision workshop 

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Context Encoding for Video Retrieval with Contrastive Learning


Aug 04, 2020
Jie Shao, Xin Wen, Bingchen Zhao, Changhu Wang, Xiangyang Xue


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