There are 47 repositories under domain-adaptation topic.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A collection of AWESOME things about domain adaptation
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
《迁移学习简明手册》LaTex源码
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
Collection of awesome test-time (domain/batch/instance) adaptation methods
A collection of implementations of deep domain adaptation algorithms
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.
Awesome Multitask Learning Resources
Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.
Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!
A PyTorch implementation for Adversarial Discriminative Domain Adaptation
[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
A library for ML benchmarking. It's powerful.
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].
Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization
[NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
EANet: Enhancing Alignment for Cross-Domain Person Re-identification
IJCAI2020 & IJCV2021 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo
Domain adaptation made easy. Fully featured, modular, and customizable.
Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577
A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.
A collection of papers about domain adaptation object detection. Welcome to PR the works (papers, repositories) that are missed by the repo.
Awesome Domain Adaptation Python Toolbox