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. 2004.04388
  4. Cited By
Towards Inheritable Models for Open-Set Domain Adaptation

Towards Inheritable Models for Open-Set Domain Adaptation

9 April 2020
Jogendra Nath Kundu
Naveen Venkat
R. Ambareesh
V. RahulM.
R. Venkatesh Babu
    VLM
ArXivPDFHTML

Papers citing "Towards Inheritable Models for Open-Set Domain Adaptation"

50 / 63 papers shown
Title
Analysis of Pseudo-Labeling for Online Source-Free Universal Domain Adaptation
Analysis of Pseudo-Labeling for Online Source-Free Universal Domain Adaptation
Pascal Schlachter
Jonathan Fuss
Bin Yang
34
0
0
16 Apr 2025
COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation
COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation
Munish Monga
Sachin Kumar Giroh
Ankit Jha
Mainak Singha
Biplab Banerjee
Jocelyn Chanussot
40
2
0
31 Aug 2024
Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain
  Adaptation using a Gaussian Mixture Model
Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model
Pascal Schlachter
Simon Wagner
Bin Yang
TTA
40
1
0
19 Jul 2024
Source-Free Domain Adaptation Guided by Vision and Vision-Language
  Pre-Training
Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-Training
Wenyu Zhang
Li Shen
Chuan-Sheng Foo
VLM
TTA
42
4
0
05 May 2024
Adversarial Reweighting with $α$-Power Maximization for Domain
  Adaptation
Adversarial Reweighting with ααα-Power Maximization for Domain Adaptation
Xiang Gu
Xi Yu
Yan Yang
Jian Sun
Zongben Xu
43
0
0
26 Apr 2024
Reuse out-of-year data to enhance land cover mappingvia feature
  disentanglement and contrastive learning
Reuse out-of-year data to enhance land cover mappingvia feature disentanglement and contrastive learning
C. Dantas
R. Gaetano
Claudia Paris
Dino Ienco
23
0
0
17 Apr 2024
Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation
  with Target-private Class Segregation
Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregation
Mattia Litrico
Davide Talon
S. Battiato
Alessio Del Bue
M. Giuffrida
Pietro Morerio
UQCV
32
0
0
16 Apr 2024
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open
  Domain Generalization
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization
Mainak Singha
Ankit Jha
Shirsha Bose
Ashwin Nair
Moloud Abdar
Biplab Banerjee
VLM
41
10
0
31 Mar 2024
GLC++: Source-Free Universal Domain Adaptation through Global-Local
  Clustering and Contrastive Affinity Learning
GLC++: Source-Free Universal Domain Adaptation through Global-Local Clustering and Contrastive Affinity Learning
Sanqing Qu
Tianpei Zou
Florian Röhrbein
Cewu Lu
Guang Chen
Dacheng Tao
Changjun Jiang
37
3
0
21 Mar 2024
A Short Survey on Importance Weighting for Machine Learning
A Short Survey on Importance Weighting for Machine Learning
Masanari Kimura
H. Hino
34
5
0
15 Mar 2024
SepRep-Net: Multi-source Free Domain Adaptation via Model Separation And
  Reparameterization
SepRep-Net: Multi-source Free Domain Adaptation via Model Separation And Reparameterization
Ying Jin
Jiaqi Wang
Dahua Lin
43
2
0
13 Feb 2024
COMET: Contrastive Mean Teacher for Online Source-Free Universal Domain
  Adaptation
COMET: Contrastive Mean Teacher for Online Source-Free Universal Domain Adaptation
Pascal Schlachter
Bin Yang
24
3
0
31 Jan 2024
Open Set Dandelion Network for IoT Intrusion Detection
Open Set Dandelion Network for IoT Intrusion Detection
Jiashu Wu
Hao Dai
Kenneth B. Kent
Jerome Yen
Chengzhong Xu
Yang Wang
21
1
0
19 Nov 2023
Learning Class and Domain Augmentations for Single-Source Open-Domain
  Generalization
Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization
Prathmesh Bele
Valay Bundele
Avigyan Bhattacharya
Ankit Jha
Gemma Roig
Biplab Banerjee
11
5
0
05 Nov 2023
Activate and Reject: Towards Safe Domain Generalization under Category
  Shift
Activate and Reject: Towards Safe Domain Generalization under Category Shift
Chaoqi Chen
Luyao Tang
Leitian Tao
Hong-Yu Zhou
Yue Huang
Xiaoguang Han
Yizhou Yu
OOD
25
10
0
07 Oct 2023
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal
  Neighborhood Clustering
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
Jian Yang
TTA
28
11
0
01 Sep 2023
Distill-SODA: Distilling Self-Supervised Vision Transformer for
  Source-Free Open-Set Domain Adaptation in Computational Pathology
Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology
Guillaume Vray
Devavrat Tomar
Jean-Philippe Thiran
Behzad Bozorgtabar
MedIm
24
0
0
10 Jul 2023
SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with
  Efficient Labeled Data Factory
SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with Efficient Labeled Data Factory
Hanqi Sun
R. Gong
Konrad Schindler
Luc Van Gool
22
1
0
07 Jun 2023
Target-Aware Generative Augmentations for Single-Shot Adaptation
Target-Aware Generative Augmentations for Single-Shot Adaptation
Kowshik Thopalli
Rakshith Subramanyam
P. Turaga
Jayaraman J. Thiagarajan
TTA
37
5
0
22 May 2023
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to
  Descendant Models
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models
Qiufeng Wang
Xu Yang
Shuxia Lin
Jing Wang
Xin Geng
23
10
0
03 May 2023
CoSDA: Continual Source-Free Domain Adaptation
CoSDA: Continual Source-Free Domain Adaptation
H. Feng
Zhaorui Yang
He-Tuo Chen
Tianyu Pang
Chao Du
Minfeng Zhu
Wei-Neng Chen
Shuicheng Yan
CLL
TTA
29
3
0
13 Apr 2023
C-SFDA: A Curriculum Learning Aided Self-Training Framework for
  Efficient Source Free Domain Adaptation
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation
Nazmul Karim
Niluthpol Chowdhury Mithun
Abhinav Rajvanshi
Han-Pang Chiu
S. Samarasekera
Nazanin Rahnavard
TTA
21
56
0
30 Mar 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Jian Liang
R. He
Tien-Ping Tan
OOD
VLM
TTA
32
203
0
27 Mar 2023
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
Devavrat Tomar
Guillaume Vray
Behzad Bozorgtabar
Jean-Philippe Thiran
TTA
22
32
0
17 Mar 2023
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
L. Yi
Gezheng Xu
Pengcheng Xu
Jiaqi Li
Ruizhi Pu
Charles X. Ling
A. McLeod
Boyu Wang
21
39
0
31 Jan 2023
Universal Domain Adaptation for Remote Sensing Image Scene
  Classification
Universal Domain Adaptation for Remote Sensing Image Scene Classification
Qingsong Xu
Yilei Shi
X. Yuan
Xiao Xiang Zhu
VLM
20
30
0
26 Jan 2023
Source-Free Unsupervised Domain Adaptation: A Survey
Source-Free Unsupervised Domain Adaptation: A Survey
Yuqi Fang
P. Yap
W. Lin
Hongtu Zhu
Mingxia Liu
130
90
0
31 Dec 2022
Learning Classifiers of Prototypes and Reciprocal Points for Universal
  Domain Adaptation
Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation
S. Hur
Inkyu Shin
Kwanyong Park
Sanghyun Woo
In So Kweon
13
8
0
16 Dec 2022
Rethinking the Role of Pre-Trained Networks in Source-Free Domain
  Adaptation
Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation
Wenyu Zhang
Li Shen
Chuan-Sheng Foo
TTA
AI4CE
31
15
0
15 Dec 2022
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain
  Adaptation
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain Adaptation
I. Diamant
Roy H. Jennings
Oranit Dror
H. Habi
Arnon Netzer
22
2
0
07 Dec 2022
Subsidiary Prototype Alignment for Universal Domain Adaptation
Subsidiary Prototype Alignment for Universal Domain Adaptation
Jogendra Nath Kundu
Suvaansh Bhambri
Akshay Ravindra Kulkarni
Hiran Sarkar
Varun Jampani
R. Venkatesh Babu
37
21
0
28 Oct 2022
IT-RUDA: Information Theory Assisted Robust Unsupervised Domain
  Adaptation
IT-RUDA: Information Theory Assisted Robust Unsupervised Domain Adaptation
Shima Rashidi
Ruwan Tennakoon
Aref Miri Rekavandi
Papangkorn Jessadatavornwong
A. Freis
G. Huff
Mark Easton
A. Mouritz
R. Hoseinnezhad
A. Bab-Hadiashar
12
2
0
24 Oct 2022
Cluster-level pseudo-labelling for source-free cross-domain facial
  expression recognition
Cluster-level pseudo-labelling for source-free cross-domain facial expression recognition
Alessandro Conti
Paolo Rota
Yiming Wang
Elisa Ricci
16
5
0
11 Oct 2022
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain
  Adaptation
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation
Jogendra Nath Kundu
Suvaansh Bhambri
Akshay Ravindra Kulkarni
Hiran Sarkar
Varun Jampani
R. Venkatesh Babu
39
26
0
27 Jul 2022
A Closer Look at Smoothness in Domain Adversarial Training
A Closer Look at Smoothness in Domain Adversarial Training
Harsh Rangwani
Sumukh K Aithal
Mayank Mishra
Arihant Jain
R. Venkatesh Babu
27
119
0
16 Jun 2022
Balancing Discriminability and Transferability for Source-Free Domain
  Adaptation
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
Jogendra Nath Kundu
Akshay Ravindra Kulkarni
Suvaansh Bhambri
Deepesh Mehta
Shreyas Kulkarni
Varun Jampani
R. Venkatesh Babu
TTA
19
89
0
16 Jun 2022
OneRing: A Simple Method for Source-free Open-partial Domain Adaptation
OneRing: A Simple Method for Source-free Open-partial Domain Adaptation
Shiqi Yang
Yaxing Wang
Kai Wang
Shangling Jui
Joost van de Weijer
25
0
0
07 Jun 2022
Attracting and Dispersing: A Simple Approach for Source-free Domain
  Adaptation
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Kai Wang
Shangling Jui
Joost van de Weijer
24
131
0
09 May 2022
Instantaneous Physiological Estimation using Video Transformers
Instantaneous Physiological Estimation using Video Transformers
Ambareesh Revanur
Ananyananda Dasari
Conrad S. Tucker
László A. Jeni
24
33
0
24 Feb 2022
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation
Yadan Luo
Zijian Wang
Zhuoxiao Chen
Zi Huang
Mahsa Baktashmotlagh
AI4CE
47
29
0
13 Feb 2022
Parameter-free Online Test-time Adaptation
Parameter-free Online Test-time Adaptation
Malik Boudiaf
Romain Mueller
Ismail Ben Ayed
Luca Bertinetto
TTA
25
137
0
15 Jan 2022
FRuDA: Framework for Distributed Adversarial Domain Adaptation
FRuDA: Framework for Distributed Adversarial Domain Adaptation
Shaoduo Gan
Akhil Mathur
Anton Isopoussu
F. Kawsar
N. Bianchi-Berthouze
Nicholas D. Lane
19
12
0
26 Dec 2021
UMAD: Universal Model Adaptation under Domain and Category Shift
UMAD: Universal Model Adaptation under Domain and Category Shift
Jian Liang
Dapeng Hu
Jiashi Feng
R. He
26
30
0
16 Dec 2021
Progressively Select and Reject Pseudo-labelled Samples for Open-Set
  Domain Adaptation
Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation
Qian Wang
Fanlin Meng
T. Breckon
VLM
BDL
18
21
0
25 Oct 2021
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain
  Adaptation
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
TTA
31
238
0
08 Oct 2021
Model Adaptation: Historical Contrastive Learning for Unsupervised
  Domain Adaptation without Source Data
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
151
212
0
07 Oct 2021
The First Vision For Vitals (V4V) Challenge for Non-Contact Video-Based
  Physiological Estimation
The First Vision For Vitals (V4V) Challenge for Non-Contact Video-Based Physiological Estimation
Ambareesh Revanur
Zhihua Li
U. Ciftci
L. Yin
László A. Jeni
45
36
0
22 Sep 2021
S$^3$VAADA: Submodular Subset Selection for Virtual Adversarial Active
  Domain Adaptation
S3^33VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation
Harsh Rangwani
Arihant Jain
Sumukh K Aithal
R. Venkatesh Babu
TTA
31
29
0
18 Sep 2021
Semi-Supervised Visual Representation Learning for Fashion Compatibility
Semi-Supervised Visual Representation Learning for Fashion Compatibility
Ambareesh Revanur
Vijay R. Kumar
D. Sharma
SSL
16
20
0
16 Sep 2021
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation
Jogendra Nath Kundu
Akshay Ravindra Kulkarni
Amit Singh
Varun Jampani
R. Venkatesh Babu
TTA
31
123
0
25 Aug 2021
12
Next