Xin Zhao's repositories
Domain-Consensus-Clustering
[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation
AaD_SFDA
Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'
Calibrated-Multiple-Uncertainties
Code Release for "Learning to Detect Open Classes for Universal Domain Adaptation"(ECCV2020)
cs-self-learning
计算机自学指南
Dassl.pytorch
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
DINE
code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"
DomainBed
DomainBed is a suite to test domain generalization algorithms
DSU
[ICLR 2022] Official pytorch implementation of "Uncertainty Modeling for Out-of-Distribution Generalization" in International Conference on Learning Representations (ICLR) 2022.
EVP
This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"
GVRT
[ECCV-2022]Grounding Visual Representations with Texts for Domain Generalization
JUMBOT
Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"
lgssl
[CVPR 2023] Learning Visual Representations via Language-Guided Sampling
NRC_SFDA
Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'
OpenOOD
Benchmarking Generalized Out-of-Distribution Detection
Paper-Writing-Tips
MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
pengzhangzhi
GitHub profile
torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
UNICON-Noisy-Label
Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"
UniOT-for-UniDA
Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"
visual_prompting
Exploring Visual Prompts for Adapting Large-Scale Models
vpt
❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119