Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery

30 October 2023

Papers citing "Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery"

11 / 11 papers shown

Title
Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery Chuyu Zhang Peiyan Gu Xueyang Yu Xuming He 21 0 0 17 Oct 2024
Incremental Generalized Category Discovery Bingchen Zhao Oisin Mac Aodha CLL 32 12 0 27 Apr 2023
No One Left Behind: Improving the Worst Categories in Long-Tailed Learning Yingxiao Du Jianxin Wu 24 13 0 07 Mar 2023
Grow and Merge: A Unified Framework for Continuous Categories Discovery Xinwei Zhang Jianwen Jiang Yutong Feng Zhi-Fan Wu Xibin Zhao Hai Wan Mingqian Tang Rong Jin Yue Gao CLL 27 29 0 09 Oct 2022
Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery Wenbin Li Zhichen Fan Jing Huo Yang Gao 27 22 0 07 Oct 2022
A Closer Look at Novel Class Discovery from the Labeled Set Ziyun Li Jona Otholt Ben Dai Diane Hu Christoph Meinel Haojin Yang BDL 10 12 0 19 Sep 2022
Towards Realistic Semi-Supervised Learning Mamshad Nayeem Rizve Navid Kardan M. Shah 34 44 0 05 Jul 2022
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 158 401 0 12 Oct 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
Counterfactual Zero-Shot and Open-Set Visual Recognition Zhongqi Yue Tan Wang Hanwang Zhang Qianru Sun Xiansheng Hua BDL 142 189 0 01 Mar 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016