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Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
v1v2v3 (latest)

Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings

IEEE International Conference on Computer Vision (ICCV), 2020
16 October 2020
Viraj Prabhu
Arjun Chandrasekaran
Kate Saenko
Judy Hoffman
    OOD
ArXiv (abs)PDFHTML

Papers citing "Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings"

50 / 63 papers shown
GALA: A GlobAl-LocAl Approach for Multi-Source Active Domain Adaptation
GALA: A GlobAl-LocAl Approach for Multi-Source Active Domain Adaptation
Lixian Zhang
Peifeng Zhang
Yibin Wen
Qingmei Li
Yang Zhang
Haohuan Fu
110
0
0
25 Oct 2025
DAM: Dual Active Learning with Multimodal Foundation Model for Source-Free Domain Adaptation
DAM: Dual Active Learning with Multimodal Foundation Model for Source-Free Domain Adaptation
Xi Chen
Hongxun Yao
Zhaopan Xu
Kui Jiang
VLM
97
0
0
29 Sep 2025
Segmentation Assisted Incremental Test Time Adaptation in an Open World
Segmentation Assisted Incremental Test Time Adaptation in an Open World
Manogna Sreenivas
Soma Biswas
VLMTTA
262
0
0
27 Aug 2025
Unified modality separation: A vision-language framework for unsupervised domain adaptation
Unified modality separation: A vision-language framework for unsupervised domain adaptationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Xinyao Li
Jingjing Li
Zhekai Du
Lei Zhu
Heng Tao Shen
VLM
183
1
0
07 Aug 2025
TAPS : Frustratingly Simple Test Time Active Learning for VLMs
TAPS : Frustratingly Simple Test Time Active Learning for VLMs
Dhruv Sarkar
Aprameyo Chakrabartty
Bibhudatta Bhanja
VLM
221
0
0
26 Jul 2025
Certainty and Uncertainty Guided Active Domain Adaptation
Certainty and Uncertainty Guided Active Domain AdaptationInternational Conference on Information Photonics (ICIP), 2025
Bardia Safaei
Vibashan Vs
Vishal M. Patel
TTA
198
2
0
26 May 2025
Adaptation Method for Misinformation Identification
Adaptation Method for Misinformation Identification
Yangping Chen
Weijie Shi
Mengze Li
Yue Cui
Hechang Chen
Jia Zhu
Jiajie Xu
232
0
0
19 Apr 2025
NeuroADDA: Active Discriminative Domain Adaptation in Connectomic
Shashata Sawmya
Thomas L. Athey
Gwyneth Liu
Nir Shavit
198
0
0
08 Mar 2025
Active Learning for Vision-Language Models
Active Learning for Vision-Language ModelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Bardia Safaei
Vishal M. Patel
VLM
336
10
0
29 Oct 2024
A3: Active Adversarial Alignment for Source-Free Domain Adaptation
A3: Active Adversarial Alignment for Source-Free Domain AdaptationInternational Conference on Machine Learning and Applications (ICMLA), 2024
Chrisantus Eze
Christopher Crick
370
1
0
27 Sep 2024
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
Pengyun Wang
Yadi Cao
Chris Russell
Yanxin Shen
Junyu Luo
Ming Zhang
Siyu Heng
Zhiyuan Ning
373
1
0
13 Sep 2024
Out-of-Distribution Learning with Human Feedback
Out-of-Distribution Learning with Human Feedback
Haoyue Bai
Xuefeng Du
Katie Rainey
Shibin Parameswaran
Yixuan Li
OODD
259
7
0
14 Aug 2024
Learn from the Learnt: Source-Free Active Domain Adaptation via
  Contrastive Sampling and Visual Persistence
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence
Mengyao Lyu
Tianxiang Hao
Xinhao Xu
Hui Chen
Zijia Lin
Jungong Han
Guiguang Ding
VLMTTA
250
10
0
26 Jul 2024
Is user feedback always informative? Retrieval Latent Defending for
  Semi-Supervised Domain Adaptation without Source Data
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data
Junha Song
Tae Soo Kim
Junha Kim
Gunhee Nam
Thijs Kooi
Jaegul Choo
333
4
0
22 Jul 2024
ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data
ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data
Valentin Margraf
Marcel Wever
Sandra Gilhuber
Gabriel Marques Tavares
Thomas Seidl
Eyke Hüllermeier
260
5
0
25 Jun 2024
Camera clustering for scalable stream-based active distillation
Camera clustering for scalable stream-based active distillation
Dani Manjah
Davide Cacciarelli
Christophe De Vleeschouwer
Benoit Macq
223
2
0
16 Apr 2024
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm
Shurui Gui
Xiner Li
Shuiwang Ji
TTA
323
22
0
07 Apr 2024
Composite Active Learning: Towards Multi-Domain Active Learning with
  Theoretical Guarantees
Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
Guang-Yuan Hao
Hengguan Huang
Haotian Wang
Jie Gao
Hao Wang
OOD
300
3
0
03 Feb 2024
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain
  Alignment
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain AlignmentIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Lin Zhang
Linghan Xu
Saman Motamed
Shayok Chakraborty
Fernando de la Torre
289
7
0
10 Jan 2024
Density Matters: Improved Core-set for Active Domain Adaptive
  Segmentation
Density Matters: Improved Core-set for Active Domain Adaptive SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2023
Shizhan Liu
Zhengkai Jiang
Yuxi Li
Jinlong Peng
Yabiao Wang
Weiyao Lin
215
0
0
15 Dec 2023
Federated Active Learning for Target Domain Generalisation
Federated Active Learning for Target Domain Generalisation
Razvan Caramalau
Binod Bhattarai
Danail Stoyanov
OODFedML
207
2
0
04 Dec 2023
Few Clicks Suffice: Active Test-Time Adaptation for Semantic
  Segmentation
Few Clicks Suffice: Active Test-Time Adaptation for Semantic Segmentation
Longhui Yuan
Shuangliang Li
Zhuo He
Binhui Xie
TTAVLM
274
1
0
04 Dec 2023
Benchmarking Multi-Domain Active Learning on Image Classification
Benchmarking Multi-Domain Active Learning on Image Classification
Jiayi Li
Rohan Taori
Tatsunori Hashimoto
VLM
252
0
0
01 Dec 2023
Evidential Uncertainty Quantification: A Variance-Based Perspective
Evidential Uncertainty Quantification: A Variance-Based Perspective
Ruxiao Duan
B. Caffo
Harrison X. Bai
Haris I. Sair
Craig K. Jones
UDEDLUQCVBDLPER
236
21
0
19 Nov 2023
Annotator: A Generic Active Learning Baseline for LiDAR Semantic
  Segmentation
Annotator: A Generic Active Learning Baseline for LiDAR Semantic SegmentationNeural Information Processing Systems (NeurIPS), 2023
Binhui Xie
Shuang Li
Qingju Guo
Chi Harold Liu
Xinjing Cheng
VLM
271
13
0
31 Oct 2023
A comprehensive survey on deep active learning in medical image analysis
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang
Q. Jin
Shiman Li
Siyu Liu
Manning Wang
Zhijian Song
VLM
398
72
0
22 Oct 2023
How To Overcome Confirmation Bias in Semi-Supervised Image
  Classification By Active Learning
How To Overcome Confirmation Bias in Semi-Supervised Image Classification By Active Learning
Sandra Gilhuber
Rasmus Hvingelby
Mang Ling Ada Fok
Thomas Seidl
198
2
0
16 Aug 2023
Dynamic Domain Discrepancy Adjustment for Active Multi-Domain Adaptation
Dynamic Domain Discrepancy Adjustment for Active Multi-Domain Adaptation
Long-Yu Liu
Bo Zhou
Zhipeng Zhao
Zening Liu
269
0
0
26 Jul 2023
Divide and Adapt: Active Domain Adaptation via Customized Learning
Divide and Adapt: Active Domain Adaptation via Customized LearningComputer Vision and Pattern Recognition (CVPR), 2023
Duojun Huang
Jichang Li
Weikai Chen
Jun Steed Huang
Z. Chai
Guanbin Li
158
33
0
21 Jul 2023
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
Hyperbolic Active Learning for Semantic Segmentation under Domain ShiftInternational Conference on Machine Learning (ICML), 2023
Luca Franco
Paolo Mandica
Konstantinos Kallidromitis
Devin Guillory
Yu-Teng Li
Trevor Darrell
Fabio Galasso
273
15
0
19 Jun 2023
Training-Free Neural Active Learning with Initialization-Robustness
  Guarantees
Training-Free Neural Active Learning with Initialization-Robustness GuaranteesInternational Conference on Machine Learning (ICML), 2023
Apivich Hemachandra
Zhongxiang Dai
Jasraj Singh
See-Kiong Ng
K. H. Low
AAML
244
8
0
07 Jun 2023
Generalized Universal Domain Adaptation with Generative Flow Networks
Generalized Universal Domain Adaptation with Generative Flow NetworksACM Multimedia (ACM MM), 2023
Didi Zhu
Yinchuan Li
Yunfeng Shao
Jianye Hao
Leilei Gan
Kun Kuang
Jun Xiao
Chao Wu
AI4CEOOD
254
24
0
08 May 2023
Cluster Entropy: Active Domain Adaptation in Pathological Image
  Segmentation
Cluster Entropy: Active Domain Adaptation in Pathological Image SegmentationIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Xiaoqing Liu
Kengo Araki
S. Harada
Akihiko Yoshizawa
Kazuhiro Terada
Mariyo Rokutan-Kurata
N. Nakajima
Hiroyuki Abe
T. Ushiku
Ryoma Bise
OOD
128
1
0
26 Apr 2023
Spectral Transfer Guided Active Domain Adaptation For Thermal Imagery
Spectral Transfer Guided Active Domain Adaptation For Thermal Imagery
Berkcan Ustun
Ahmet Kağan Kaya
Ezgi Cakir Ayerden
Fazil Altinel
210
4
0
14 Apr 2023
ASPEST: Bridging the Gap Between Active Learning and Selective
  Prediction
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
Jiefeng Chen
Chang Jo Kim
Sayna Ebrahimi
Sercan O. Arik
S. Jha
Tomas Pfister
369
5
0
07 Apr 2023
Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection
Bi3D: Bi-domain Active Learning for Cross-domain 3D Object DetectionComputer Vision and Pattern Recognition (CVPR), 2023
Jiakang Yuan
Bo Zhang
Xiangchao Yan
Tao Chen
Ding Wang
Yikang Li
Yu Qiao
296
31
0
10 Mar 2023
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
Dirichlet-based Uncertainty Calibration for Active Domain AdaptationInternational Conference on Learning Representations (ICLR), 2023
Mixue Xie
Shuang Li
Rui Zhang
Chi Harold Liu
UQCV
177
42
0
27 Feb 2023
Active learning for data streams: a survey
Active learning for data streams: a surveyMachine-mediated learning (ML), 2023
Davide Cacciarelli
M. Kulahci
303
87
0
17 Feb 2023
Iterative Loop Method Combining Active and Semi-Supervised Learning for
  Domain Adaptive Semantic Segmentation
Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation
Licong Guan
Xue Yuan
248
11
0
31 Jan 2023
Plug and Play Active Learning for Object Detection
Plug and Play Active Learning for Object DetectionComputer Vision and Pattern Recognition (CVPR), 2022
Chenhongyi Yang
Lichao Huang
Elliot J. Crowley
ObjD
248
31
0
21 Nov 2022
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive
  Survey
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive SurveyACM Computing Surveys (ACM CSUR), 2022
Yuecong Xu
Haozhi Cao
Zhenghua Chen
Xiaoli Li
Lihua Xie
Jianfei Yang
232
23
0
17 Nov 2022
Reducing Annotation Effort by Identifying and Labeling Contextually
  Diverse Classes for Semantic Segmentation Under Domain Shift
Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift
Sharat Agarwal
Saket Anand
Chetan Arora
230
2
0
13 Oct 2022
Placing Human Animations into 3D Scenes by Learning Interaction- and
  Geometry-Driven Keyframes
Placing Human Animations into 3D Scenes by Learning Interaction- and Geometry-Driven KeyframesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
James F. Mullen
D. Kothandaraman
Aniket Bera
Tianyi Zhou
3DH
319
9
0
13 Sep 2022
Local Context-Aware Active Domain Adaptation
Local Context-Aware Active Domain AdaptationIEEE International Conference on Computer Vision (ICCV), 2022
Tao Sun
Cheng Lu
Haibin Ling
229
12
0
26 Aug 2022
Combating Label Distribution Shift for Active Domain Adaptation
Combating Label Distribution Shift for Active Domain AdaptationEuropean Conference on Computer Vision (ECCV), 2022
S. Hwang
Sohyun Lee
Sungyeon Kim
Jungseul Ok
Suha Kwak
223
26
0
13 Aug 2022
Prior Knowledge Guided Unsupervised Domain Adaptation
Prior Knowledge Guided Unsupervised Domain AdaptationEuropean Conference on Computer Vision (ECCV), 2022
Tao Sun
Cheng Lu
Haibin Ling
142
36
0
18 Jul 2022
Active Source Free Domain Adaptation
Active Source Free Domain Adaptation
Fan Wang
Zhongyi Han
Zhiyan Zhang
Yilong Yin
294
12
0
22 May 2022
Loss-based Sequential Learning for Active Domain Adaptation
Loss-based Sequential Learning for Active Domain Adaptation
Kyeongtak Han
Youngeun Kim
Dongyoon Han
Sungeun Hong
172
1
0
25 Apr 2022
Learning Distinctive Margin toward Active Domain Adaptation
Learning Distinctive Margin toward Active Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2022
Ming-Kun Xie
Yuxi Li
Yabiao Wang
Zekun Luo
Zhenye Gan
Zhongyi Sun
M. Chi
Chengjie Wang
Pei Wang
202
39
0
11 Mar 2022
D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic
  Segmentation
D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic Segmentation
Tsung-Han Wu
Yi-Syuan Liou
Shaojie Yuan
Hsin-Ying Lee
Tung-I Chen
Kuan-Chih Huang
Winston H. Hsu
264
10
0
14 Feb 2022
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