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

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

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

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

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

Reliable Weighted Optimal Transport for Unsupervised Domain AdaptationПодробнее

Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation

CVPR2023 CiCoПодробнее

CVPR2023 CiCo

Reliable Weighted Optimal Transport for Unsupervised Domain AdaptationПодробнее

Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation

[NeurIPS 2022 Spotlight] Unified Optimal Transport Framework for Universal Domain AdaptationПодробнее

[NeurIPS 2022 Spotlight] Unified Optimal Transport Framework for Universal Domain Adaptation

Optimal Transport based Domain AdaptationПодробнее

Optimal Transport based Domain Adaptation

[P215] Domain Adaptation using Optimal Transport for Invariant Learning in Histopathology DatasetsПодробнее

[P215] Domain Adaptation using Optimal Transport for Invariant Learning in Histopathology Datasets

Learning distances for attributed graphs with optimal transportПодробнее

Learning distances for attributed graphs with optimal transport

Feature Alignment and Uniformity for Test Time Adaptation （CVPR2023）Подробнее

Feature Alignment and Uniformity for Test Time Adaptation （CVPR2023）

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

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

EcoTTA presentation CVPR 2023Подробнее

EcoTTA presentation CVPR 2023

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

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

Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain AdaptationПодробнее

Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation

Enhanced Transport Distance for Unsupervised Domain AdaptationПодробнее

Enhanced Transport Distance for Unsupervised Domain Adaptation

Thesis Defense - Multi-Source Domain Adaptation through Wasserstein Barycenters - Eduardo FernandesПодробнее

Thesis Defense - Multi-Source Domain Adaptation through Wasserstein Barycenters - Eduardo Fernandes