ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2207.08605
  4. Cited By
Class-incremental Novel Class Discovery

Class-incremental Novel Class Discovery

18 July 2022
Subhankar Roy
Mingxuan Liu
Zhun Zhong
N. Sebe
Elisa Ricci
    CLL
ArXivPDFHTML

Papers citing "Class-incremental Novel Class Discovery"

33 / 33 papers shown
Title
Few-shot Novel Category Discovery
Few-shot Novel Category Discovery
Chunming Li
Shidong Wang
Haofeng Zhang
21
0
0
13 May 2025
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery
Shijie Ma
Fei Zhu
Xu-Yao Zhang
Cheng-Lin Liu
27
1
0
02 Apr 2025
Freeze and Cluster: A Simple Baseline for Rehearsal-Free Continual Category Discovery
Chuyu Zhang
Xueyang Yu
Peiyan Gu
Xuming He
CLL
78
0
0
12 Mar 2025
Deep Active Learning in the Open World
Deep Active Learning in the Open World
Tian Xie
Jifan Zhang
Haoyue Bai
R. Nowak
VLM
104
1
0
10 Nov 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
29
6
0
09 Oct 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
26
4
0
26 Aug 2024
Online Continuous Generalized Category Discovery
Online Continuous Generalized Category Discovery
Keon-Hee Park
Hakyung Lee
Kyungwoo Song
Gyeong-Moon Park
CLL
BDL
29
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
46
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
35
6
0
26 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
26
1
0
10 May 2024
YOLOOC: YOLO-based Open-Class Incremental Object Detection with Novel Class Discovery
Qian Wan
Xiang Xiang
Qinhao Zhou
ObjD
31
0
0
30 Mar 2024
Democratizing Fine-grained Visual Recognition with Large Language Models
Democratizing Fine-grained Visual Recognition with Large Language Models
Mingxuan Liu
Subhankar Roy
Wenjing Li
Zhun Zhong
N. Sebe
Elisa Ricci
VLM
27
10
0
24 Jan 2024
Federated Continual Novel Class Learning
Federated Continual Novel Class Learning
Lixu Wang
Chenxi Liu
Junfeng Guo
Jiahua Dong
Xiao Wang
Heng-Chiao Huang
Qi Zhu
CLL
FedML
30
2
0
21 Dec 2023
Novel class discovery meets foundation models for 3D semantic
  segmentation
Novel class discovery meets foundation models for 3D semantic segmentation
Luigi Riz
Cristiano Saltori
Yiming Wang
Elisa Ricci
Fabio Poiesi
3DPC
31
0
0
06 Dec 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
26
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
28
2
0
23 Aug 2023
MetaGCD: Learning to Continually Learn in Generalized Category Discovery
MetaGCD: Learning to Continually Learn in Generalized Category Discovery
Yanan Wu
Zhixiang Chi
Yang Wang
Songhe Feng
BDL
CLL
11
26
0
21 Aug 2023
Proxy Anchor-based Unsupervised Learning for Continuous Generalized
  Category Discovery
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery
Hyungmin Kim
Sungho Suh
Daehwan Kim
Daun Jeong
Hansang Cho
Junmo Kim
CLL
31
11
0
20 Jul 2023
Federated Generalized Category Discovery
Federated Generalized Category Discovery
Nan Pu
Zhun Zhong
Xinyuan Ji
N. Sebe
FedML
26
13
0
23 May 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
Incremental Generalized Category Discovery
Incremental Generalized Category Discovery
Bingchen Zhao
Oisin Mac Aodha
CLL
40
12
0
27 Apr 2023
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
Shaozhe Hao
Kai Han
Kwan-Yee Kenneth Wong
34
16
0
14 Apr 2023
Dynamic Conceptional Contrastive Learning for Generalized Category
  Discovery
Dynamic Conceptional Contrastive Learning for Generalized Category Discovery
Nan Pu
Zhun Zhong
N. Sebe
16
60
0
30 Mar 2023
Large-scale Pre-trained Models are Surprisingly Strong in Incremental
  Novel Class Discovery
Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery
Mingxuan Liu
Subhankar Roy
Zhun Zhong
N. Sebe
Elisa Ricci
CLL
SSL
32
10
0
28 Mar 2023
Novel Class Discovery for 3D Point Cloud Semantic Segmentation
Novel Class Discovery for 3D Point Cloud Semantic Segmentation
Luigi Riz
Cristiano Saltori
Elisa Ricci
Fabio Poiesi
3DPC
21
19
0
21 Mar 2023
Revisiting Class-Incremental Learning with Pre-Trained Models:
  Generalizability and Adaptivity are All You Need
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
Ziwei Liu
CLL
28
99
0
13 Mar 2023
Novel Class Discovery: an Introduction and Key Concepts
Novel Class Discovery: an Introduction and Key Concepts
Colin Troisemaine
V. Lemaire
Stéphane Gosselin
Alexandre Reiffers-Masson
Joachim Flocon-Cholet
Sandrine Vaton
25
21
0
22 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
30
596
0
31 Jan 2023
Style-Hallucinated Dual Consistency Learning: A Unified Framework for
  Visual Domain Generalization
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization
Yuyang Zhao
Zhun Zhong
Na Zhao
N. Sebe
G. Lee
27
29
0
18 Dec 2022
Parametric Classification for Generalized Category Discovery: A Baseline
  Study
Parametric Classification for Generalized Category Discovery: A Baseline Study
Xin Wen
Bingchen Zhao
Xiaojuan Qi
30
67
0
21 Nov 2022
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
303
5,761
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
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain
  Adaptive Semantic Segmentation
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
Zhedong Zheng
Yi Yang
NoLa
174
496
0
08 Mar 2020
1