Hello👋 This is a repository for research of Novel Category Discovery algorithm.

• [DTC] Han, Kai, et al. "Learning to discover novel visual categories via deep transfer clustering." (ICCV 2019) [paper] [code]
  • The first paper to define the Novel Category Discovery task.
• [RS] Han, Kai, et al. "Automatically discovering and learning new visual categories with ranking statistics." (ICLR 2020) [paper]
• [AutoNovel] Kai Han, et al., "Autonovel: Automatically discovering and learning novel visual categories." (TPAMI 2021) [paper] [code]
  • I would recommend this paper to understand research trends on the Novel Category Discovery task.
• [DualRS] Zhao, Bingchen, and Kai Han. "Novel visual category discovery with dual ranking statistics and mutual knowledge distillation." (NeurIPS 2021) [paper] [code]
• [NCL] Zhong, Zhun, et al., "Neighborhood Contrastive Learning for Novel Class Discovery." (CVPR 2021) [paper] [code]
• [OpenMix] Zhong, Zhun, et al., "OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World." (CVPR 2021) [paper]
• [UNO] Fini, Enrico, et al., "A unified objective for novel class discovery." (ICCV 2021) [paper] [code]
• [MP, MM] Chi, Haoang, et al., "Meta discovery: Learning to discover novel classes given very limited data." (ICLR 2022) [paper] [code]
• [NCDwF] Gaurav Aggarwal, et al., "Novel Class Discovery without Forgetting." (ECCV 2022) [paper]

a.k.a. Open-World Semi-Supervised Learning

• [GCD] Vaze, Sagar, et al., "Generalized Category Discovery." (CVPR 2022) [paper] [code]
  • The first paper to define the Generalized Category Discovery task.
• [ComEx] Yang, Muli, et al., "Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery." (CVPR 2022) [paper] [code]
• [XCon] Fei, Yixin, et al., "XCon: Learning with Experts for Fine-grained Category Discovery." (2022) [paper] [code]
• [SimGCD] Xin Wen, et al., "A Simple Parametric Classification Baseline for Generalized Category Discovery." (2022) [paper][code]
• [PromptCAL] Sheng Zhan, et al., "PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery." (under review, 2022) [paper][code]
• [MIB] Florent Chiaroni, et al., "Mutual Information-based Generalized Category Discovery." (2022) [paper]
• [MI] Chuyu Zhang, et al., "Mutual Information-guided Knowledge Transfer for Open-World Semi-Supervised Learning ." (2022) [paper]
• [GPC] Bingchen Zhao, et al., "Generalized Category Discovery via Adaptive GMMs without Knowing the Class Number." (2022) [paper]

(Updates: 22.08.31) There is a well-organized reference repository here.