BITDA @ Beijing Institute of Technology

CIRL

[CVPR 2022 Oral] Code release for "Causality Inspired Representation Learning for Domain Generalization"

EADA

[AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406

GDCAN

[TPAMI 2021] Code release for "Generalized Domain Conditioned Adaptation Network" https://arxiv.org/abs/2103.12339

I2V-GAN

ACMMM2021 paper "I2V-GAN: Unpaired Infrared-to-Visible Video Translation"

MetaSAug

[CVPR 2021] MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition

RIPU

[CVPR 2022 Oral] Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2111.12940

RoTTA

[CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899

SDCA

Official Implementation of Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation https://arxiv.org/abs/2105.05013

SePiCo

[TPAMI 2023 ESI Highly Cited Paper] SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2204.08808

TSA

[CVPR 2021 Oral] Code release for "Transferable Semantic Augmentation for Domain Adaptation"

BIT-DA/RIPU

[CVPR 2022 Oral] Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2111.12940

BIT-DA/CIRL

[CVPR 2022 Oral] Code release for "Causality Inspired Representation Learning for Domain Generalization"

BIT-DA/SePiCo

[TPAMI 2023 ESI Highly Cited Paper] SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2204.08808

BIT-DA/I2V-GAN

ACMMM2021 paper "I2V-GAN: Unpaired Infrared-to-Visible Video Translation"

BIT-DA/EADA

[AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406

BIT-DA/MetaSAug

[CVPR 2021] MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition

BIT-DA/RoTTA

[CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899

BIT-DA/GDCAN

[TPAMI 2021] Code release for "Generalized Domain Conditioned Adaptation Network" https://arxiv.org/abs/2103.12339

BIT-DA/SDCA

Official Implementation of Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation https://arxiv.org/abs/2105.05013

BIT-DA/DCAN

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

BIT-DA/DDA

Code release for "Dynamic Domain Adaptation for Efficient Inference" (CVPR 2021)

BIT-DA/SSAN

[ACMMM 2020] Code release for "Simultaneous Semantic Alignment Network for Heterogenous Domain Adaptation" https://arxiv.org/abs/2008.01677

BIT-DA/DUC

[ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"

BIT-DA/Annotator

[NeurIPS 2023] Official Implementation of A Generic Active Learning Baseline for LiDAR Semantic Segmentation

BIT-DA/VBLC

[AAAI 2023 Oral] VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions

BIT-DA/SCDA

[ICCV 2021] Code release for "Semantic Concentration for Domain adaptation"

BIT-DA/ROMA

Display of ROMA.

BIT-DA/BorLan

[ICCV2023] Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm

BIT-DA/CAF

[TKDE 2023 ESI Highly Cited Paper] A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation

BIT-DA/O2net

BIT-DA/ParetoDA

[NIPS 2021] Code release for "Pareto Domain Adaptation"

BIT-DA/Transfer-Learning-Study

learning materials

BIT-DA/MetaReg

BIT-DA/Domain-Oriented-Transformer

BIT-DA/LSG

[NeurIPS 2023] Official Implementation of Language Semantic Graph Guided Data-Efficient Learning

BIT-DA/DCG

[CVPR 2023] Code release for "Improving Generalization with Domain Convex Game"

BIT-DA/CSDN

Official repository of "Critical Classes and Samples Discovering for Partial Domain Adaptation", IEEE Transaction on Cybernetics

BIT-DA/SCT

BIT-DA/TTSA

Code release for "Adapting Across Domains via Target-oriented Transferable Semantic Augmentation under Prototype Constraint"

BIT-DA/EvoS

Official implementation of our NeurIPS 2023 paper (EvoS).