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. 1711.10125
  4. Cited By
Learning to cluster in order to transfer across domains and tasks

Learning to cluster in order to transfer across domains and tasks

28 November 2017
Yen-Chang Hsu
Zhaoyang Lv
Z. Kira
    OOD
ArXivPDFHTML

Papers citing "Learning to cluster in order to transfer across domains and tasks"

50 / 56 papers shown
Title
When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach
When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach
Vaibhav Rathore
S. Bagchi
Saikat Dutta
Sarthak Mehrotra
Zsolt Kira
Biplab Banerjee
OOD
76
1
0
19 Mar 2025
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios
Ziming Huang
Xurui Li
Haotian Liu
Feng Xue
Yuzhe Wang
Yu Zhou
37
0
0
18 Oct 2024
Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery
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
RoNID: New Intent Discovery with Generated-Reliable Labels and
  Cluster-friendly Representations
RoNID: New Intent Discovery with Generated-Reliable Labels and Cluster-friendly Representations
Shun Zhang
Chaoran Yan
Jian Yang
Changyu Ren
Jiaqi Bai
Tongliang Li
Zhoujun Li
36
1
0
13 Apr 2024
GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery
GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery
Enguang Wang
Zhimao Peng
Zhengyuan Xie
Fei Yang
Xialei Liu
Ming-Ming Cheng
59
3
0
15 Mar 2024
Adaptive Discovering and Merging for Incremental Novel Class Discovery
Adaptive Discovering and Merging for Incremental Novel Class Discovery
Guangyao Chen
Peixi Peng
Yangru Huang
Mengyue Geng
Yonghong Tian
CLL
MoMe
29
9
0
06 Mar 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
38
0
0
24 Jan 2024
A Practical Approach to Novel Class Discovery in Tabular Data
A Practical Approach to Novel Class Discovery in Tabular Data
Colin Troisemaine
Alexandre Reiffers
Stéphane Gosselin
Vincent Lemaire
Sandrine Vaton
30
1
0
09 Nov 2023
Novel Class Discovery for Long-tailed Recognition
Novel Class Discovery for Long-tailed Recognition
Zhang Chuyu
Rui Xu
Xuming He
27
16
0
06 Aug 2023
CLIP-GCD: Simple Language Guided Generalized Category Discovery
CLIP-GCD: Simple Language Guided Generalized Category Discovery
Rabah Ouldnoughi
Chia-Wen Kuo
Z. Kira
VLM
24
14
0
17 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
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
38
16
0
14 Apr 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
34
10
0
28 Mar 2023
Unsupervised Domain Adaptation via Distilled Discriminative Clustering
Unsupervised Domain Adaptation via Distilled Discriminative Clustering
Hui Tang
Yaowei Wang
K. Jia
OOD
23
43
0
23 Feb 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
38
21
0
22 Feb 2023
Transferable Deep Metric Learning for Clustering
Transferable Deep Metric Learning for Clustering
C. SimoAlami
Rim Kaddah
Jesse Read
27
0
0
13 Feb 2023
Open Relation and Event Type Discovery with Type Abstraction
Open Relation and Event Type Discovery with Type Abstraction
Sha Li
Heng Ji
Jiawei Han
39
14
0
30 Nov 2022
Discovering New Intents Using Latent Variables
Discovering New Intents Using Latent Variables
Yunhua Zhou
Peiju Liu
Yuxin Wang
Xipeng QIu
24
1
0
21 Oct 2022
Learning to Discover and Detect Objects
Learning to Discover and Detect Objects
V. Fomenko
Ismail Elezi
Deva Ramanan
Laura Leal-Taixé
Aljosa Osep
ObjD
31
10
0
19 Oct 2022
Modeling Inter-Class and Intra-Class Constraints in Novel Class
  Discovery
Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery
Wenbin Li
Zhichen Fan
Jing Huo
Yang Gao
30
22
0
07 Oct 2022
A Closer Look at Novel Class Discovery from the Labeled Set
A Closer Look at Novel Class Discovery from the Labeled Set
Ziyun Li
Jona Otholt
Ben Dai
Diane Hu
Christoph Meinel
Haojin Yang
BDL
15
12
0
19 Sep 2022
Open Long-Tailed Recognition in a Dynamic World
Open Long-Tailed Recognition in a Dynamic World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
VLM
33
18
0
17 Aug 2022
OpenCon: Open-world Contrastive Learning
OpenCon: Open-world Contrastive Learning
Yiyou Sun
Yixuan Li
VLM
SSL
DRL
44
39
0
04 Aug 2022
Automatically Discovering Novel Visual Categories with Self-supervised
  Prototype Learning
Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning
Lu Zhang
Lu Qi
Xu Yang
Hong Qiao
Ming Yang
Zhiyong Liu
SSL
35
3
0
01 Aug 2022
UC-OWOD: Unknown-Classified Open World Object Detection
UC-OWOD: Unknown-Classified Open World Object Detection
Zhi-zong Wu
Yue Lu
Xingyu Chen
Zhengxing Wu
Liwen Kang
Junzhi Yu
17
55
0
23 Jul 2022
Novel Class Discovery without Forgetting
Novel Class Discovery without Forgetting
K. J. Joseph
S. Paul
Gaurav Aggarwal
Soma Biswas
Piyush Rai
Kai Han
V. Balasubramanian
CLL
38
43
0
21 Jul 2022
Class-incremental Novel Class Discovery
Class-incremental Novel Class Discovery
Subhankar Roy
Mingxuan Liu
Zhun Zhong
N. Sebe
Elisa Ricci
CLL
28
43
0
18 Jul 2022
Towards Realistic Semi-Supervised Learning
Towards Realistic Semi-Supervised Learning
Mamshad Nayeem Rizve
Navid Kardan
M. Shah
47
44
0
05 Jul 2022
OpenLDN: Learning to Discover Novel Classes for Open-World
  Semi-Supervised Learning
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning
Mamshad Nayeem Rizve
Navid Kardan
Salman Khan
F. Khan
M. Shah
31
49
0
05 Jul 2022
Single-domain Generalization in Medical Image Segmentation via Test-time
  Adaptation from Shape Dictionary
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary
Quande Liu
Cheng Chen
Qi Dou
Pheng-Ann Heng
OOD
47
36
0
29 Jun 2022
Mutual Information-guided Knowledge Transfer for Novel Class Discovery
Chuyu Zhang
Chuanyan Hu
Ruijie Xu
Zhitong Gao
Qian He
Xuming He
20
4
0
24 Jun 2022
New Intent Discovery with Pre-training and Contrastive Learning
New Intent Discovery with Pre-training and Contrastive Learning
Yuwei Zhang
Haode Zhang
Li-Ming Zhan
Albert Y.S. Lam
Albert Y. S. Lam
SSL
VLM
32
41
0
25 May 2022
Generalized Knowledge Distillation via Relationship Matching
Generalized Knowledge Distillation via Relationship Matching
Han-Jia Ye
Su Lu
De-Chuan Zhan
FedML
22
20
0
04 May 2022
FedDrive: Generalizing Federated Learning to Semantic Segmentation in
  Autonomous Driving
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving
Lidia Fantauzzo
Eros Fani
Debora Caldarola
A. Tavera
Fabio Cermelli
Marco Ciccone
Barbara Caputo
FedML
28
52
0
28 Feb 2022
Generalized Category Discovery
Generalized Category Discovery
S. Vaze
Kai Han
Andrea Vedaldi
Andrew Zisserman
33
188
0
07 Jan 2022
Novel Class Discovery in Semantic Segmentation
Novel Class Discovery in Semantic Segmentation
Yuyang Zhao
Zhun Zhong
N. Sebe
G. Lee
24
27
0
03 Dec 2021
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent
  Recognition
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition
Hanlei Zhang
Xiaoteng Li
Hua Xu
Panpan Zhang
Kang Zhao
Kai Gao
21
35
0
13 Sep 2021
A Unified Objective for Novel Class Discovery
A Unified Objective for Novel Class Discovery
Enrico Fini
E. Sangineto
Stéphane Lathuilière
Zhun Zhong
Moin Nabi
Elisa Ricci
25
168
0
19 Aug 2021
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual
  Knowledge Distillation
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation
Bingchen Zhao
Kai Han
17
106
0
07 Jul 2021
AutoNovel: Automatically Discovering and Learning Novel Visual
  Categories
AutoNovel: Automatically Discovering and Learning Novel Visual Categories
Kai Han
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Andrea Vedaldi
Andrew Zisserman
SSL
24
124
0
29 Jun 2021
Neighborhood Contrastive Learning for Novel Class Discovery
Neighborhood Contrastive Learning for Novel Class Discovery
Zhun Zhong
Enrico Fini
Subhankar Roy
Zhiming Luo
Elisa Ricci
N. Sebe
22
142
0
20 Jun 2021
The Pursuit of Knowledge: Discovering and Localizing Novel Categories
  using Dual Memory
The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory
Sai Saketh Rambhatla
Ramalingam Chellappa
Abhinav Shrivastava
19
17
0
04 May 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
FedDG: Federated Domain Generalization on Medical Image Segmentation via
  Episodic Learning in Continuous Frequency Space
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
Quande Liu
Cheng Chen
J. Qin
Qi Dou
Pheng-Ann Heng
OOD
FedML
35
426
0
10 Mar 2021
Discovering New Intents with Deep Aligned Clustering
Discovering New Intents with Deep Aligned Clustering
Hanlei Zhang
Hua Xu
Ting-En Lin
Rui Lv
20
116
0
16 Dec 2020
Weak-shot Fine-grained Classification via Similarity Transfer
Weak-shot Fine-grained Classification via Similarity Transfer
Junjie Chen
Li Niu
Liu Liu
Liqing Zhang
28
21
0
19 Sep 2020
Learning from the Scene and Borrowing from the Rich: Tackling the Long
  Tail in Scene Graph Generation
Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation
Tao He
Lianli Gao
Jingkuan Song
Jianfei Cai
Yuan-Fang Li
16
30
0
13 Jun 2020
OpenMix: Reviving Known Knowledge for Discovering Novel Visual
  Categories in An Open World
OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in An Open World
Zhun Zhong
Linchao Zhu
Zhiming Luo
Shaozi Li
Yi Yang
N. Sebe
VLM
CLL
27
113
0
12 Apr 2020
Domain Generalization via Model-Agnostic Learning of Semantic Features
Domain Generalization via Model-Agnostic Learning of Semantic Features
Qi Dou
Daniel Coelho De Castro
Konstantinos Kamnitsas
Ben Glocker
OOD
28
685
0
29 Oct 2019
Learning to Discover Novel Visual Categories via Deep Transfer
  Clustering
Learning to Discover Novel Visual Categories via Deep Transfer Clustering
Kai Han
Andrea Vedaldi
Andrew Zisserman
SSL
11
291
0
26 Aug 2019
12
Next