UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models

Includes: Learning data augmentation strategies for object detection | GridMask data augmentation | Augmentation for small object detection in Numpy. Use RetinaNet with ResNet-18 to test these meth…

Unofficial Pytorch implementation of the paper 'Learning Data Augmentation Strategies for Object Detection'

[CVPR 2023] Improving Zero-shot Generalization and Robustness of Multi-modal Models

Official Code for Source-informed Latent Augmented Neighborhood (SiLAN)

Collection of awesome test-time (domain/batch/instance) adaptation methods

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

Code of the paper "Neighborhood Contrastive Learning Applied to Online Patient Monitoring"

[TPAMI24] GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation

The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation

Official PyTorch codes of CVPR2022 Oral: Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

[CVPR 2023] Official Implementation of "C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation""

[NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models

code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'

[CVPR 2022] Official CoTTA Code for our paper Continual Test-Time Domain Adaptation

Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World

Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'

[NeurIPS' 24] Official implementation of the paper "Cloud Object Detector Adaptation by Integrating Different Source Knowledge"

Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "

[CVPR 2024] TEA: Test-time Energy Adaptation