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MetaGCD: Learning to Continually Learn in Generalized Category Discovery

MetaGCD: Learning to Continually Learn in Generalized Category Discovery

21 August 2023
Yanan Wu
Zhixiang Chi
Yang Wang
Songhe Feng
    BDL
    CLL
ArXivPDFHTML

Papers citing "MetaGCD: Learning to Continually Learn in Generalized Category Discovery"

27 / 27 papers shown
Title
Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category Discovery
Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category Discovery
Alireza Fathalizadeh
Roozbeh Razavi-Far
CLL
36
0
0
11 Apr 2025
MOS: Modeling Object-Scene Associations in Generalized Category Discovery
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
Freeze and Cluster: A Simple Baseline for Rehearsal-Free Continual Category Discovery
Chuyu Zhang
Xueyang Yu
Peiyan Gu
Xuming He
CLL
83
0
0
12 Mar 2025
Towards Robust Incremental Learning under Ambiguous Supervision
Towards Robust Incremental Learning under Ambiguous Supervision
Rui Wang
Mingxuan Xia
Chang Yao
Lei Feng
Junbo Zhao
Gang Chen
Haobo Wang
CLL
138
0
0
23 Jan 2025
DocTTT: Test-Time Training for Handwritten Document Recognition Using Meta-Auxiliary Learning
DocTTT: Test-Time Training for Handwritten Document Recognition Using Meta-Auxiliary Learning
Wenhao Gu
Li Gu
Ziqiang Wang
Ching Yee Suen
Yang Wang
53
0
0
22 Jan 2025
Task Consistent Prototype Learning for Incremental Few-shot Semantic
  Segmentation
Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentation
Wenbo Xu
Yanan Wu
Haoran Jiang
Yang Wang
Qiang Wu
Jian Zhang
CLL
VLM
30
0
0
16 Oct 2024
Happy: A Debiased Learning Framework for Continual Generalized Category
  Discovery
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery
Shijie Ma
Fei Zhu
Zhun Zhong
Wenzhuo Liu
Xu-Yao Zhang
Cheng-Lin Liu
CLL
42
6
0
09 Oct 2024
Online Continuous Generalized Category Discovery
Online Continuous Generalized Category Discovery
Keon-Hee Park
Hakyung Lee
Kyungwoo Song
Gyeong-Moon Park
CLL
BDL
34
0
0
24 Aug 2024
Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised
  Class Incremental Learning
Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning
Jiaming Liu
Hongyuan Liu
Zhili Qin
Wei Han
Yulu Fan
Qinli Yang
Junming Shao
CLL
48
1
0
19 Aug 2024
PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category
  Discovery
PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery
Fernando Julio Cendra
Bingchen Zhao
Kai Han
VLM
CLL
37
6
0
26 Jul 2024
How to Train the Teacher Model for Effective Knowledge Distillation
How to Train the Teacher Model for Effective Knowledge Distillation
Shayan Mohajer Hamidi
Xizhen Deng
Renhao Tan
Linfeng Ye
Ahmed H. Salamah
32
2
0
25 Jul 2024
Distribution Alignment for Fully Test-Time Adaptation with Dynamic
  Online Data Streams
Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams
Ziqiang Wang
Zhixiang Chi
Yanan Wu
Li Gu
Zhi Liu
Konstantinos Plataniotis
Yang Wang
OOD
TTA
42
2
0
16 Jul 2024
Continual Novel Class Discovery via Feature Enhancement and Adaptation
Continual Novel Class Discovery via Feature Enhancement and Adaptation
Yifan Yu
Shaokun Wang
Yuhang He
Junzhe Chen
Yihong Gong
CLL
40
1
0
10 May 2024
Adapting to Distribution Shift by Visual Domain Prompt Generation
Adapting to Distribution Shift by Visual Domain Prompt Generation
Zhixiang Chi
Li Gu
Tao Zhong
Huan Liu
Yuanhao Yu
Konstantinos N Plataniotis
Yang Wang
VLM
OOD
39
7
0
05 May 2024
Towards Incremental Learning in Large Language Models: A Critical Review
Towards Incremental Learning in Large Language Models: A Critical Review
M. Jovanovic
Peter Voss
ELM
CLL
KELM
37
5
0
28 Apr 2024
Beyond Known Clusters: Probe New Prototypes for Efficient Generalized
  Class Discovery
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
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
Yanan Wu
Zhixiang Chi
Yang Wang
Konstantinos N. Plataniotis
Songhe Feng
OOD
21
17
0
15 Dec 2023
Generalized Category Discovery in Semantic Segmentation
Generalized Category Discovery in Semantic Segmentation
Zhengyuan Peng
Qijian Tian
Jianqing Xu
Yizhang Jin
Xuequan Lu
Xin Tan
Yuan Xie
Lizhuang Ma
ISeg
17
2
0
20 Nov 2023
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized
  Category Discovery
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery
Sarah Rastegar
Hazel Doughty
Cees G. M. Snoek
30
15
0
30 Oct 2023
Category Adaptation Meets Projected Distillation in Generalized
  Continual Category Discovery
Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery
Grzegorz Rype'sć
Daniel Marczak
Sebastian Cygert
Tomasz Trzciñski
Bartlomiej Twardowski
VLM
CLL
33
2
0
23 Aug 2023
Grow and Merge: A Unified Framework for Continuous Categories Discovery
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
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from
  Mixture-of-Experts
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
Tao Zhong
Zhixiang Chi
Li Gu
Yang Wang
Yuanhao Yu
Jingshan Tang
OOD
66
29
0
08 Oct 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Can Chen
Xiangshan Chen
Chen-li Ma
Zixuan Liu
Xue Liu
86
35
0
24 Jul 2022
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
SSL
188
453
0
29 Apr 2021
Emerging Properties in Self-Supervised Vision Transformers
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
Joint Representation Learning and Novel Category Discovery on Single-
  and Multi-modal Data
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data
Xu Jia
Kai Han
Yukun Zhu
Bradley Green
147
57
0
26 Apr 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
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