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Task-Aware Variational Adversarial Active Learning
v1v2 (latest)

Task-Aware Variational Adversarial Active Learning

Computer Vision and Pattern Recognition (CVPR), 2020
11 February 2020
Kwanyoung Kim
Dongwon Park
K. Kim
S. Chun
    VLMOOD
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "Task-Aware Variational Adversarial Active Learning"

50 / 81 papers shown
Heterogeneous Adversarial Play in Interactive Environments
Heterogeneous Adversarial Play in Interactive Environments
Manjie Xu
Xinyi Yang
Jiayu Zhan
Wei Liang
Chi Zhang
Yixin Zhu
185
1
0
21 Oct 2025
Calibrated Uncertainty Sampling for Active Learning
Calibrated Uncertainty Sampling for Active Learning
H. Bui
Iliana Maifeld-Carucci
Anqi Liu
143
1
0
03 Oct 2025
Combining Discrepancy-Confusion Uncertainty and Calibration Diversity for Active Fine-Grained Image Classification
Combining Discrepancy-Confusion Uncertainty and Calibration Diversity for Active Fine-Grained Image Classification
Yinghao Jin
Xi Yang
UQCV
244
0
0
29 Sep 2025
Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model
Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model
Kwanyoung Kim
Sanghyun Kim
DiffMVGen
352
2
0
23 May 2025
ADROIT: A Self-Supervised Framework for Learning Robust Representations for Active Learning
S. Banerjee
Vinay Kumar Verma
SSL
351
0
0
10 Mar 2025
Joint Out-of-Distribution Filtering and Data Discovery Active LearningComputer Vision and Pattern Recognition (CVPR), 2025
Sebastian Schmidt
Leonard Schenk
Leo Schwinn
Stephan Günnemann
406
8
0
04 Mar 2025
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
M. Valiuddin
R. V. Sloun
C.G.A. Viviers
Peter H. N. de With
Fons van der Sommen
UQCV
1.1K
4
0
25 Nov 2024
Integrating Deep Metric Learning with Coreset for Active Learning in 3D
  Segmentation
Integrating Deep Metric Learning with Coreset for Active Learning in 3D SegmentationNeural Information Processing Systems (NeurIPS), 2024
Arvind Murari Vepa
Zukang Yang
Andrew Choi
Jungseock Joo
Fabien Scalzo
Yizhou Sun
3DPC
366
10
0
24 Nov 2024
STONE: A Submodular Optimization Framework for Active 3D Object
  Detection
STONE: A Submodular Optimization Framework for Active 3D Object DetectionNeural Information Processing Systems (NeurIPS), 2024
Ruiyu Mao
Sarthak Kumar Maharana
Rishabh K Iyer
Yunhui Guo
3DPC
264
2
0
04 Oct 2024
AL-GTD: Deep Active Learning for Gaze Target Detection
AL-GTD: Deep Active Learning for Gaze Target DetectionACM Multimedia (MM), 2024
Francesco Tonini
Nicola Dall’Asen
Lorenzo Vaquero
Cigdem Beyan
Elisa Ricci
297
1
0
27 Sep 2024
Semi-Supervised Variational Adversarial Active Learning via Learning to
  Rank and Agreement-Based Pseudo Labeling
Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo LabelingInternational Conference on Pattern Recognition (ICPR), 2024
Zongyao Lyu
William J. Beksi
DRL
198
3
0
23 Aug 2024
Bayesian Active Learning for Semantic Segmentation
Bayesian Active Learning for Semantic Segmentation
Sima Didari
Wenjun Hu
Jae Oh Woo
Heng Hao
Hankyu Moon
Seungjai Min
417
5
0
03 Aug 2024
Downstream-Pretext Domain Knowledge Traceback for Active Learning
Downstream-Pretext Domain Knowledge Traceback for Active Learning
Beichen Zhang
Liang-Sheng Li
Zheng-Jun Zha
Jiebo Luo
Qingming Huang
260
1
0
20 Jul 2024
DCoM: Active Learning for All Learners
DCoM: Active Learning for All Learners
Inbal Mishal
D. Weinshall
VLM
320
2
0
01 Jul 2024
A Unified Approach Towards Active Learning and Out-of-Distribution Detection
A Unified Approach Towards Active Learning and Out-of-Distribution Detection
Sebastian Schmidt
Leonard Schenk
Leo Schwinn
Stephan Günnemann
494
6
0
18 May 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers
A Survey on Deep Active Learning: Recent Advances and New Frontiers
Dongyuan Li
Zhen Wang
Yankai Chen
Xue Liu
Weiping Ding
Manabu Okumura
525
103
0
01 May 2024
Generative Active Learning for Image Synthesis Personalization
Generative Active Learning for Image Synthesis PersonalizationACM Multimedia (MM), 2024
Xu-Lu Zhang
Wengyu Zhang
Xiao Wei
Jinlin Wu
Zhaoxiang Zhang
Zhen Lei
Qing Li
309
5
0
22 Mar 2024
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous
  Driving
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving
Han Lu
Xiaosong Jia
Yichen Xie
Wenlong Liao
Yunbo Wang
Junchi Yan
349
22
0
05 Mar 2024
Tyche: Stochastic In-Context Learning for Medical Image Segmentation
Tyche: Stochastic In-Context Learning for Medical Image SegmentationComputer Vision and Pattern Recognition (CVPR), 2024
Marianne Rakic
Hallee E. Wong
Jose Javier Gonzalez Ortiz
Beth Cimini
John Guttag
Adrian V. Dalca
307
24
0
24 Jan 2024
VeCAF: Vision-language Collaborative Active Finetuning with Training
  Objective Awareness
VeCAF: Vision-language Collaborative Active Finetuning with Training Objective AwarenessACM Multimedia (MM), 2024
Rongyu Zhang
Zefan Cai
Huanrui Yang
Zidong Liu
Denis A. Gudovskiy
...
Kurt Keutzer
Baobao Chang
Yuan Du
Li Du
Shanghang Zhang
VLM
324
2
0
15 Jan 2024
A Weighted K-Center Algorithm for Data Subset Selection
A Weighted K-Center Algorithm for Data Subset Selection
Srikumar Ramalingam
Pranjal Awasthi
Sanjiv Kumar
3DPC
313
8
0
17 Dec 2023
Benchmarking of Query Strategies: Towards Future Deep Active Learning
Benchmarking of Query Strategies: Towards Future Deep Active Learning
Shiryu Ueno
Yusei Yamada
Shunsuke Nakatsuka
Kunihito Kato
FedML
229
2
0
10 Dec 2023
Federated Active Learning for Target Domain Generalisation
Federated Active Learning for Target Domain Generalisation
Razvan Caramalau
Binod Bhattarai
Danail Stoyanov
OODFedML
232
2
0
04 Dec 2023
ActiveDC: Distribution Calibration for Active Finetuning
ActiveDC: Distribution Calibration for Active FinetuningComputer Vision and Pattern Recognition (CVPR), 2023
Wenshuai Xu
Zhenhui Hu
Yu Lu
Jinzhou Meng
Qingjie Liu
Yunhong Wang
335
4
0
13 Nov 2023
Learning to Rank for Active Learning via Multi-Task Bilevel Optimization
Learning to Rank for Active Learning via Multi-Task Bilevel OptimizationConference on Uncertainty in Artificial Intelligence (UAI), 2023
Zixin Ding
Si-An Chen
Ruoxi Jia
Yuxin Chen
311
2
0
25 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
420
82
0
22 Oct 2023
Towards Open World Active Learning for 3D Object Detection
Towards Open World Active Learning for 3D Object Detection
Zhuoxiao Chen
Yadan Luo
Zixin Wang
Zijian Wang
Xin Yu
Zi Huang
252
1
0
16 Oct 2023
Active Learning for Fine-Grained Sketch-Based Image Retrieval
Active Learning for Fine-Grained Sketch-Based Image RetrievalBritish Machine Vision Conference (BMVC), 2023
Himanshu Thakur
Soumitri Chattopadhyay
252
3
0
15 Sep 2023
Stream-based Active Learning by Exploiting Temporal Properties in
  Perception with Temporal Predicted Loss
Stream-based Active Learning by Exploiting Temporal Properties in Perception with Temporal Predicted LossBritish Machine Vision Conference (BMVC), 2023
Sebastian Schmidt
Stephan Günnemann
247
9
0
11 Sep 2023
Optimal Sample Selection Through Uncertainty Estimation and Its
  Application in Deep Learning
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning
Yong Lin
Chen Liu
Chen Ye
Qing Lian
Xingtai Lv
Tong Zhang
277
5
0
05 Sep 2023
Overcoming Overconfidence for Active Learning
Overcoming Overconfidence for Active LearningIEEE Access (IEEE Access), 2023
Yujin Hwang
Won Jo
Juyoung Hong
Yukyung Choi
191
4
0
21 Aug 2023
Neural Interactive Keypoint Detection
Neural Interactive Keypoint DetectionIEEE International Conference on Computer Vision (ICCV), 2023
Jie Yang
Ailing Zeng
Feng Li
Siyi Liu
Ruimao Zhang
Lei Zhang
3DV3DH
242
18
0
20 Aug 2023
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection
KECOR: Kernel Coding Rate Maximization for Active 3D Object DetectionIEEE International Conference on Computer Vision (ICCV), 2023
Yadan Luo
Zhuoxiao Chen
Zhenying Fang
Zheng Zhang
Zi Huang
Mahsa Baktashmotlagh
3DPC
252
18
0
16 Jul 2023
Exploiting Counter-Examples for Active Learning with Partial labels
Exploiting Counter-Examples for Active Learning with Partial labelsMachine-mediated learning (ML), 2023
Fei Zhang
Yunjie Ye
Lei Feng
Zhongwen Rao
Jieming Zhu
Marcus Kalander
Chen Gong
Jianye Hao
Bo Han
164
2
0
14 Jul 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active
  Learning
Training Ensembles with Inliers and Outliers for Semi-supervised Active LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Vladan Stojnić
Zakaria Laskar
Giorgos Tolias
287
3
0
07 Jul 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
274
8
0
07 Jun 2023
Active Finetuning: Exploiting Annotation Budget in the
  Pretraining-Finetuning Paradigm
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning ParadigmComputer Vision and Pattern Recognition (CVPR), 2023
Yichen Xie
Han Lu
Junchi Yan
Yunbo Wang
Masayoshi Tomizuka
Wei Zhan
260
45
0
25 Mar 2023
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and
  Consistency
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and Consistency
Jae-Kwang Lim
Jongkeun Na
Nojun Kwak
225
3
0
15 Mar 2023
Learning to Select Pivotal Samples for Meta Re-weighting
Learning to Select Pivotal Samples for Meta Re-weightingAAAI Conference on Artificial Intelligence (AAAI), 2023
Yinjun Wu
Adam Stein
Jacob R. Gardner
Mayur Naik
235
2
0
09 Feb 2023
Best Practices in Active Learning for Semantic Segmentation
Best Practices in Active Learning for Semantic Segmentation
Sudhanshu Mittal
J. Niemeijer
Jörg P. Schäfer
Thomas Brox
VLM
328
21
0
08 Feb 2023
Leveraging Importance Weights in Subset Selection
Leveraging Importance Weights in Subset SelectionInternational Conference on Learning Representations (ICLR), 2023
Gui Citovsky
Giulia DeSalvo
Sanjiv Kumar
Srikumar Ramalingam
Afshin Rostamizadeh
Yunjuan Wang
158
5
0
28 Jan 2023
Navigating the Pitfalls of Active Learning Evaluation: A Systematic
  Framework for Meaningful Performance Assessment
Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance AssessmentNeural Information Processing Systems (NeurIPS), 2023
Carsten T. Lüth
Till J. Bungert
Lukas Klein
Paul F. Jaeger
377
21
0
25 Jan 2023
Exploring Active 3D Object Detection from a Generalization Perspective
Exploring Active 3D Object Detection from a Generalization PerspectiveInternational Conference on Learning Representations (ICLR), 2023
Yadan Luo
Zhuoxiao Chen
Zijian Wang
Xin Yu
Zi Huang
Mahsa Baktash
3DPC
250
35
0
23 Jan 2023
Active learning for medical image segmentation with stochastic batches
Active learning for medical image segmentation with stochastic batches
Mélanie Gaillochet
Christian Desrosiers
H. Lombaert
UQCV
243
40
0
18 Jan 2023
TAAL: Test-time Augmentation for Active Learning in Medical Image
  Segmentation
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation
Mélanie Gaillochet
Christian Desrosiers
H. Lombaert
217
19
0
16 Jan 2023
Active Learning Guided by Efficient Surrogate Learners
Active Learning Guided by Efficient Surrogate LearnersAAAI Conference on Artificial Intelligence (AAAI), 2023
Yunpyo An
Suyeong Park
K. Kim
197
2
0
07 Jan 2023
MoBYv2AL: Self-supervised Active Learning for Image Classification
MoBYv2AL: Self-supervised Active Learning for Image ClassificationBritish Machine Vision Conference (BMVC), 2023
Razvan Caramalau
Binod Bhattarai
Danail Stoyanov
Tae-Kyun Kim
SSL
152
8
0
04 Jan 2023
Temporal Output Discrepancy for Loss Estimation-based Active Learning
Temporal Output Discrepancy for Loss Estimation-based Active LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Siyu Huang
Tianyang Wang
Haoyi Xiong
Bihan Wen
Jun Huan
Dejing Dou
UQCV
250
8
0
20 Dec 2022
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning
  for Salient Object Detection
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object DetectionAAAI Conference on Artificial Intelligence (AAAI), 2022
Zhenyu Wu
Lin Wang
Wen Wang
Qing Xia
Chenglizhao Chen
Aimin Hao
Shuo Li
AAML
325
5
0
13 Dec 2022
Deep Active Learning for Multi-Label Classification of Remote Sensing
  Images
Deep Active Learning for Multi-Label Classification of Remote Sensing ImagesIEEE Geoscience and Remote Sensing Letters (GRSL), 2022
Lars Möllenbrok
Gencer Sumbul
Begüm Demir
307
10
0
02 Dec 2022
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