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Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
v1v2v3v4 (latest)

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

7 December 2017
Kuniaki Saito
Kohei Watanabe
Yoshitaka Ushiku
Tatsuya Harada
ArXiv (abs)PDFHTMLGithub (568★)

Papers citing "Maximum Classifier Discrepancy for Unsupervised Domain Adaptation"

50 / 880 papers shown
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
G. Chen
Dacheng Tao
Changjun Jiang
257
7
0
21 Mar 2024
When Cars meet Drones: Hyperbolic Federated Learning for Source-Free
  Domain Adaptation in Adverse Weather
When Cars meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather
Giulia Rizzoli
Matteo Caligiuri
Donald Shenaj
F. Barbato
Pietro Zanuttigh
263
3
0
20 Mar 2024
Confusing Pair Correction Based on Category Prototype for Domain
  Adaptation under Noisy Environments
Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments
Churan Zhi
Junbao Zhuo
Shuhui Wang
161
4
0
19 Mar 2024
PCT: Perspective Cue Training Framework for Multi-Camera BEV
  Segmentation
PCT: Perspective Cue Training Framework for Multi-Camera BEV Segmentation
Haruya Ishikawa
Takumi Iida
Yoshinori Konishi
Yoshimitsu Aoki
197
4
0
19 Mar 2024
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting
Zhuliang Yu
Guohao Chen
Jiaxiang Wu
Yifan Zhang
Yaofo Chen
Peilin Zhao
Shuaicheng Niu
TTAOOD
348
10
0
18 Mar 2024
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation
Yeongtak Oh
Jonghyun Lee
Jooyoung Choi
Dahuin Jung
Uiwon Hwang
Sungroh Yoon
TTADiffM
337
6
0
16 Mar 2024
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data
  Augmentation
SF(DA)2^22: Source-free Domain Adaptation Through the Lens of Data Augmentation
Uiwon Hwang
Jonghyun Lee
Juhyeon Shin
Sungroh Yoon
238
23
0
16 Mar 2024
Leveraging Synthetic Data for Generalizable and Fair Facial Action Unit
  Detection
Leveraging Synthetic Data for Generalizable and Fair Facial Action Unit Detection
Liupei Lu
Yufeng Yin
Yuming Gu
Yizhen Wu
P. Prasad
Yajie Zhao
Mohammad Soleymani
186
0
0
15 Mar 2024
A Bayesian Approach to OOD Robustness in Image Classification
A Bayesian Approach to OOD Robustness in Image ClassificationComputer Vision and Pattern Recognition (CVPR), 2024
Prakhar Kaushik
Adam Kortylewski
Yaoyao Liu
224
6
0
12 Mar 2024
Split to Merge: Unifying Separated Modalities for Unsupervised Domain
  Adaptation
Split to Merge: Unifying Separated Modalities for Unsupervised Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2024
Xinyao Li
Yuke Li
Zhekai Du
Fengling Li
Ke Lu
Jingjing Li
VLM
233
18
0
11 Mar 2024
Generalizing to Out-of-Sample Degradations via Model Reprogramming
Generalizing to Out-of-Sample Degradations via Model ReprogrammingIEEE Transactions on Image Processing (TIP), 2024
Runhua Jiang
Yahong Han
DiffMOODD
189
2
0
09 Mar 2024
Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in
  Images and Videos
Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in Images and VideosInternational Conference on Machine Learning (ICML), 2024
Tarun Kalluri
Bodhisattwa Prasad Majumder
Manmohan Chandraker
VLM
324
7
0
08 Mar 2024
Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain
  Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery
Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery
Jingru Zhu
Ya Guo
Geng Sun
Liang Hong
Jie Chen
181
10
0
06 Mar 2024
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
Sanqing Qu
Tianpei Zou
Lianghua He
Florian Röhrbein
Alois Knoll
Guang Chen
Changjun Jiang
266
43
0
06 Mar 2024
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
Zhekai Du
Xinyao Li
Fengling Li
Ke Lu
Lei Zhu
Jingjing Li
220
49
0
05 Mar 2024
Margin Discrepancy-based Adversarial Training for Multi-Domain Text
  Classification
Margin Discrepancy-based Adversarial Training for Multi-Domain Text Classification
Yuan Wu
125
0
0
01 Mar 2024
Unsupervised Domain Adaptation within Deep Foundation Latent Spaces
Unsupervised Domain Adaptation within Deep Foundation Latent Spaces
D. Kangin
Plamen Angelov
199
1
0
22 Feb 2024
DART: A Principled Approach to Adversarially Robust Unsupervised Domain
  Adaptation
DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation
Yunjuan Wang
Hussein Hazimeh
Natalia Ponomareva
Alexey Kurakin
Ibrahim Hammoud
Raman Arora
OODAAML
176
1
0
16 Feb 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
Yuan Liu
Dahua Lin
251
4
0
13 Feb 2024
Domain Adaptation Using Pseudo Labels
Domain Adaptation Using Pseudo Labels
S. Chhabra
Hemanth Venkateswara
Baoxin Li
287
1
0
09 Feb 2024
Source-Free Domain Adaptation with Diffusion-Guided Source Data
  Generation
Source-Free Domain Adaptation with Diffusion-Guided Source Data Generation
Shivang Chopra
Suraj Kothawade
Houda Aynaou
Vasu Sharma
DiffM
239
5
0
07 Feb 2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators
Continual Domain Adversarial Adaptation via Double-Head DiscriminatorsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Yan Shen
Zhanghexuan Ji
Chunwei Ma
Mingchen Gao
TTA
288
2
0
05 Feb 2024
Phase-driven Domain Generalizable Learning for Nonstationary Time Series
Phase-driven Domain Generalizable Learning for Nonstationary Time Series
Payal Mohapatra
Lixu Wang
Qi Zhu
AI4TS
248
3
0
05 Feb 2024
Resilient Practical Test-Time Adaptation: Soft Batch Normalization
  Alignment and Entropy-driven Memory Bank
Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank
Xingzhi Zhou
Zhiliang Tian
Ka Chun Cheung
Simon See
Nevin L. Zhang
201
3
0
26 Jan 2024
CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free
  Domain Adaptation
CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free Domain AdaptationAsian Conference on Computer Vision (ACCV), 2024
Hyeonwoo Cho
Chanmin Park
Donghee Kim
Jinyoung Kim
Won Hwa Kim
TTA
429
0
0
26 Jan 2024
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space
A. Mottaghi
Mohammad Abdullah Jamal
Serena Yeung
Omid Mohareri
169
1
0
23 Jan 2024
Multi-Source Domain Adaptation with Transformer-based Feature Generation
  for Subject-Independent EEG-based Emotion Recognition
Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition
Shadi Sartipi
Müjdat Çetin
150
6
0
04 Jan 2024
De-Confusing Pseudo-Labels in Source-Free Domain Adaptation
De-Confusing Pseudo-Labels in Source-Free Domain AdaptationEuropean Conference on Computer Vision (ECCV), 2024
I. Diamant
Amir Rosenfeld
Idan Achituve
Jacob Goldberger
Arnon Netzer
304
4
0
03 Jan 2024
Incorporating Geo-Diverse Knowledge into Prompting for Increased
  Geographical Robustness in Object Recognition
Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object RecognitionComputer Vision and Pattern Recognition (CVPR), 2024
Kyle Buettner
Sina Malakouti
Xiang Lorraine Li
Adriana Kovashka
410
6
0
03 Jan 2024
Online Continual Domain Adaptation for Semantic Image Segmentation Using
  Internal Representations
Online Continual Domain Adaptation for Semantic Image Segmentation Using Internal Representations
Serban Stan
Mohammad Rostami
OODCLL
241
0
0
02 Jan 2024
Towards Improved Proxy-based Deep Metric Learning via Data-Augmented
  Domain Adaptation
Towards Improved Proxy-based Deep Metric Learning via Data-Augmented Domain AdaptationAAAI Conference on Artificial Intelligence (AAAI), 2024
Li Ren
Chen Chen
Liqiang Wang
Kien Hua
204
14
0
01 Jan 2024
Prompt-based Distribution Alignment for Unsupervised Domain Adaptation
Prompt-based Distribution Alignment for Unsupervised Domain AdaptationAAAI Conference on Artificial Intelligence (AAAI), 2023
Shuanghao Bai
Min Zhang
Wanqi Zhou
Siteng Huang
Zhirong Luan
Donglin Wang
Badong Chen
OODVLM
229
80
0
15 Dec 2023
Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark
Deep Unsupervised Domain Adaptation for Time Series Classification: a BenchmarkData mining and knowledge discovery (DMKD), 2023
Hassan Ismail Fawaz
Ganesh Del Grosso
Tanguy Kerdoncuff
Aurélie Boisbunon
Illyyne Saffar
AI4TS
324
2
0
15 Dec 2023
Adversarial Semi-Supervised Domain Adaptation for Semantic Segmentation:
  A New Role for Labeled Target Samples
Adversarial Semi-Supervised Domain Adaptation for Semantic Segmentation: A New Role for Labeled Target Samples
Marwa Kechaou
Mokhtar Z. Alaya
Romain Hérault
Gilles Gasso
GAN
219
0
0
12 Dec 2023
Sound Source Localization for a Source inside a Structure using
  Ac-CycleGAN
Sound Source Localization for a Source inside a Structure using Ac-CycleGAN
S. Kita
Choong Sik Park
Y. Kajikawa
184
0
0
08 Dec 2023
Domain Invariant Representation Learning and Sleep Dynamics Modeling for
  Automatic Sleep Staging
Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep StagingACM Transactions on Computing for Healthcare (TCH), 2023
Seungyeon Lee
Thai-Hoang Pham
Zhao Cheng
Ping Zhang
368
0
0
06 Dec 2023
Corporate Bankruptcy Prediction with Domain-Adapted BERT
Corporate Bankruptcy Prediction with Domain-Adapted BERT
Alex G. Kim
Sang-Yeong Yoon
127
10
0
06 Dec 2023
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault
  Diagnosis
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault DiagnosisItalian National Conference on Sensors (INS), 2023
Florent Forest
Olga Fink
244
4
0
05 Dec 2023
Are Synthetic Data Useful for Egocentric Hand-Object Interaction
  Detection?
Are Synthetic Data Useful for Egocentric Hand-Object Interaction Detection?European Conference on Computer Vision (ECCV), 2023
Rosario Leonardi
Antonino Furnari
Francesco Ragusa
G. Farinella
EgoV
259
5
0
05 Dec 2023
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with
  Multi-Resolution Feature Perturbation
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature PerturbationComputer Vision and Pattern Recognition (CVPR), 2023
Sumanth Udupa
Prajwal Gurunath
Aniruddh Sikdar
Suresh Sundaram
294
18
0
30 Nov 2023
Source-free Video Domain Adaptation by Learning from Noisy Labels
Source-free Video Domain Adaptation by Learning from Noisy LabelsPattern Recognition (Pattern Recogn.), 2023
A. Dasgupta
C. V. Jawahar
Karteek Alahari
TTAVLM
487
13
0
30 Nov 2023
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain
  Adaptation
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain AdaptationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Sunandini Sanyal
Ashish Ramayee Asokan
Suvaansh Bhambri
YM Pradyumna
Akshay Ravindra Kulkarni
Jogendra Nath Kundu
R. V. Babu
CML
211
7
0
27 Nov 2023
Improving Source-Free Target Adaptation with Vision Transformers Leveraging Domain Representation Images
Gauransh Sawhney
Daksh Dave
Adeel Ahmed
Jiechao Gao
Khalid Saleem
273
0
0
21 Nov 2023
GLAD: Global-Local View Alignment and Background Debiasing for
  Unsupervised Video Domain Adaptation with Large Domain Gap
GLAD: Global-Local View Alignment and Background Debiasing for Unsupervised Video Domain Adaptation with Large Domain GapIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Hyogun Lee
Kyungho Bae
Seong Jong Ha
Yumin Ko
Gyeong-Moon Park
Jinwoo Choi
213
3
0
21 Nov 2023
Gradual Source Domain Expansion for Unsupervised Domain Adaptation
Gradual Source Domain Expansion for Unsupervised Domain Adaptation
Thomas Westfechtel
Hao-Wei Yeh
Dexuan Zhang
Tatsuya Harada
CLL
179
23
0
16 Nov 2023
Language Semantic Graph Guided Data-Efficient Learning
Language Semantic Graph Guided Data-Efficient LearningNeural Information Processing Systems (NeurIPS), 2023
Wenxuan Ma
Shuang Li
Lincan Cai
Jingxuan Kang
198
5
0
15 Nov 2023
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
SPA: A Graph Spectral Alignment Perspective for Domain AdaptationNeural Information Processing Systems (NeurIPS), 2023
Zhiqing Xiao
Haobo Wang
Ying Jin
Lei Feng
Gang Chen
Fei Huang
Junbo Zhao
304
34
0
26 Oct 2023
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained
  Large Models Fine-Tuning
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning
Shuoran Jiang
Qingcai Chen
Yang Xiang
Youcheng Pan
Xiangping Wu
AI4CE
279
1
0
24 Oct 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory
  and Algorithm
A Unified Approach to Domain Incremental Learning with Memory: Theory and AlgorithmNeural Information Processing Systems (NeurIPS), 2023
Haizhou Shi
Hao Wang
CLL
288
38
0
18 Oct 2023
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved
  Calibration and Model Selection in Unsupervised Domain Adaptation
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain AdaptationInternational Conference on Machine Learning (ICML), 2023
Taejong Joo
Diego Klabjan
384
1
0
16 Oct 2023
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