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"

21 / 21 papers shown

Title
Hyperbolic Category Discovery Yuanpei Liu Zhenqi He Kai Han 26 0 0 08 Apr 2025
MOS: Modeling Object-Scene Associations in Generalized Category Discovery Zhengyuan Peng Jinpeng Ma Zhimin Sun Ran Yi Haichuan Song Xin Tan Lizhuang Ma 56 0 0 15 Mar 2025
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning Shengjie Niu Lifan Lin Jian Huang Chao Wang 29 0 0 04 Nov 2024
A Fresh Look at Generalized Category Discovery through Non-negative Matrix Factorization Zhong Ji Steve Yang Jingren Liu Yanwei Pang Jungong Han 33 0 0 29 Oct 2024
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery Yuxun Qu Yongqiang Tang Chenyang Zhang Wensheng Zhang 28 0 0 29 Oct 2024
Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery Chuyu Zhang Peiyan Gu Xueyang Yu Xuming He 30 0 0 17 Oct 2024
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery Haonan Lin Wenbin An Jiahao Wang Yan Chen Feng Tian Mengmeng Wang Guang Dai Qianying Wang Jingdong Wang 36 2 0 29 Sep 2024
SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery Sarah Rastegar Mohammadreza Salehi Yuki M. Asano Hazel Doughty Cees G. M. Snoek 35 4 0 26 Aug 2024
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts Hongjun Wang S. Vaze Kai Han 74 4 0 08 Aug 2024
Labeled Data Selection for Category Discovery Bingchen Zhao Nico Lang Serge J. Belongie Oisin Mac Aodha 34 3 0 07 Jun 2024
Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery Ye Wang Yaxiong Wang Yujiao Wu Bin Zhao Xueming Qian 39 2 0 13 Apr 2024
Incremental Generalized Category Discovery Bingchen Zhao Oisin Mac Aodha CLL 42 12 0 27 Apr 2023
No One Left Behind: Improving the Worst Categories in Long-Tailed Learning Yingxiao Du Jianxin Wu 32 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 38 29 0 09 Oct 2022
Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery Wenbin Li Zhichen Fan Jing Huo Yang Gao 35 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 17 12 0 19 Sep 2022
Towards Realistic Semi-Supervised Learning Mamshad Nayeem Rizve Navid Kardan M. Shah 47 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 169 405 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 317 5,785 0 29 Apr 2021
Counterfactual Zero-Shot and Open-Set Visual Recognition Zhongqi Yue Tan Wang Hanwang Zhang Qianru Sun Xiansheng Hua BDL 158 192 0 01 Mar 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 264 36,371 0 25 Aug 2016