CVPR 2023 Highlight Paper | Divide and Adapt: Active Domain Adaptation via Customized Learning

CVPR 2023 Highlight Paper | Divide and Adapt: Active Domain Adaptation via Customized Learning

[CVPR 2023] STPL: Source-Free Domain Adaptation for Video Semantic SegmentationПодробнее

[CVPR 2023] STPL: Source-Free Domain Adaptation for Video Semantic Segmentation

[CVPR 2023] DARE-GRAM: Unsupervised Domain Adaptation Regression by Aligning Inverse Gram MatricesПодробнее

[CVPR 2023] DARE-GRAM: Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices

Learning Distinctive Margin Toward Active Domain Adaptation | CVPR 2022Подробнее

Learning Distinctive Margin Toward Active Domain Adaptation | CVPR 2022

CVPR23@Back to the Source: Diffusion-Driven Adaptation to Test-Time CorruptionПодробнее

CVPR23@Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption

[CVPR'2023 Paper] Curriculum Learning for Source-Free Domain Adaptation | 8 Minutes PresentationПодробнее

[CVPR'2023 Paper] Curriculum Learning for Source-Free Domain Adaptation | 8 Minutes Presentation

[CVPR 2023] Semi-Supervised Domain Adaptation with Source Label AdaptationПодробнее

[CVPR 2023] Semi-Supervised Domain Adaptation with Source Label Adaptation

CVPR2023 [Highlight] Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game PerspectiveПодробнее

CVPR2023 [Highlight] Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective

[CVPR 2023] Robust Test-time Adaptation in Dynamic ScenariosПодробнее

[CVPR 2023] Robust Test-time Adaptation in Dynamic Scenarios

TimeBalance [CVPR 2023]Подробнее

TimeBalance [CVPR 2023]

MOT: Masked Optimal Transport for Partial Domain Adaptation (CVPR' 2023)Подробнее

MOT: Masked Optimal Transport for Partial Domain Adaptation (CVPR' 2023)

Video Presentation of Our CVPR'23 Paper about Source-free Video Domain AdaptationПодробнее

Video Presentation of Our CVPR'23 Paper about Source-free Video Domain Adaptation

CVPR 2023 Paper: Object Detection with Self-Supervised Scene AdaptationПодробнее

CVPR 2023 Paper: Object Detection with Self-Supervised Scene Adaptation

Guiding Pseudo-Labels With Uncertainty Estimation for Source-Free Unsupervised Domain AdaptationПодробнее

Guiding Pseudo-Labels With Uncertainty Estimation for Source-Free Unsupervised Domain Adaptation

CVPR 2023 - AutoLabel: CLIP-based framework for Open-set Video Domain AdaptationПодробнее

CVPR 2023 - AutoLabel: CLIP-based framework for Open-set Video Domain Adaptation

[CVPR 2024] Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class BiasПодробнее

[CVPR 2024] Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias