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CiPR: An Efficient Framework with Cross-instance Positive Relations for
  Generalized Category Discovery

CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery

14 April 2023
Shaozhe Hao
Kai Han
Kwan-Yee Kenneth Wong
ArXivPDFHTML

Papers citing "CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery"

22 / 22 papers shown
Title
Hyperbolic Category Discovery
Hyperbolic Category Discovery
Yuanpei Liu
Zhenqi He
Kai Han
23
0
0
08 Apr 2025
OwMatch: Conditional Self-Labeling with Consistency for Open-World
  Semi-Supervised Learning
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning
Shengjie Niu
Lifan Lin
Jian Huang
Chao Wang
24
0
0
04 Nov 2024
A Fresh Look at Generalized Category Discovery through Non-negative
  Matrix Factorization
A Fresh Look at Generalized Category Discovery through Non-negative Matrix Factorization
Zhong Ji
S. M. I. Simon X. Yang
Jingren Liu
Yanwei Pang
Jungong Han
23
0
0
29 Oct 2024
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery
Yuxun Qu
Yongqiang Tang
Chenyang Zhang
Wensheng Zhang
24
0
0
29 Oct 2024
Flipped Classroom: Aligning Teacher Attention with Student in
  Generalized Category Discovery
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
32
2
0
29 Sep 2024
SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery
SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery
Sarah Rastegar
Mohammadreza Salehi
Yuki M. Asano
Hazel Doughty
Cees G. M. Snoek
24
4
0
26 Aug 2024
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
Hongjun Wang
S. Vaze
Kai Han
58
4
0
08 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
31
6
0
26 Jul 2024
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch
  and Inductive Inference
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference
S. Park
Hyuk Kwon
Kwanghoon Sohn
Kibok Lee
OffRL
21
0
0
31 May 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
26
2
0
13 Apr 2024
Memory Consistency Guided Divide-and-Conquer Learning for Generalized
  Category Discovery
Memory Consistency Guided Divide-and-Conquer Learning for Generalized Category Discovery
Yuanpeng Tu
Zhun Zhong
Yuxi Li
Hengshuang Zhao
25
0
0
24 Jan 2024
Out-of-distribution Detection Learning with Unreliable
  Out-of-distribution Sources
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources
Haotian Zheng
Qizhou Wang
Zhen Fang
Xiaobo Xia
Feng Liu
Tongliang Liu
Bo Han
138
23
0
06 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
21
15
0
30 Oct 2023
Learning Semi-supervised Gaussian Mixture Models for Generalized
  Category Discovery
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery
Bingchen Zhao
Xin Wen
Kai Han
33
46
0
10 May 2023
Towards Realistic Semi-Supervised Learning
Towards Realistic Semi-Supervised Learning
Mamshad Nayeem Rizve
Navid Kardan
M. Shah
34
44
0
05 Jul 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
213
848
0
15 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
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
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
183
450
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
283
5,723
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
135
57
0
26 Apr 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
203
501
0
15 Jan 2021
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
245
648
0
23 Mar 2020
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