Albert0147

G-SFDA

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

NRC_SFDA

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

AaD_SFDA

Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'

OneRing_SF-OPDA

Code for 'OneRing: A Simple Method for Source-free Open-partial Domain Adaptation'

BAIT_SFUDA

Unsupervised Domain Adaptation without Source Data by Casting a BAIT

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

albert0147.github.io

Awesome-Incremental-Learning

Awesome Incremental Learning

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

CLIP

Contrastive Language-Image Pretraining

DANCE

repository for Universal Domain Adaptation through Self-supervision

idapt

Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding (RSS 2021)

introRL

Intro to Reinforcement Learning (强化学习纲要）

lab

LiteratureDL4Graph

lumo-implement

MaskFormer

Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

NCL

Neighborhood Contrastive Learning for Novel Class Discovery, CVPR 2021

OVANet

Repository for OVANet

pacl

PointDAN

Code of NeurIPS19 Paper "PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation".

pygcn

Graph Convolutional Networks in PyTorch

RLexample

Some basic examples of playing with RL

SHOT

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

SSDA_MME

Semi-supervised Domain Adaptation via Minimax Entropy

stable-diffusion

A latent text-to-image diffusion model

starter-academic

website

zsseg.baseline

Zero-Shot Semantic Segmentation