#Domain-adaptation
Showing 36 of 36 repositories tagged #domain-adaptation, ranked by stars
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-θΏη§»ε¦δΉ
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
POT : Python Optimal Transport
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
A collection of implementations of deep domain adaptation algorithms
pytorch implementation of Domain-Adversarial Training of Neural Networks
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.
python 3 pytorch implementation of DANN
Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to traditional RAG, which can be self-managed and self-improved without the use of any tools.
A PyTorch implementation for Adversarial Discriminative Domain Adaptation
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the π₯PyTorch ecosystem. β Star to support our work!
A library for ML benchmarking. It's powerful.
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
Domain adaptation made easy. Fully featured, modular, and customizable.
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)
Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
A curated list of papers and resources about the distribution shift in machine learning.
Official Implementation of PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
[CVPR2021] "Visualizing Adapted Knowledge in Domain Transfer". Visualization for domain adaptation. #explainable-ai
1st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue segmentation and classification task. (MICCAI 2019) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
Library of transfer learners and domain-adaptive classifiers.
Implementation of "SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses"
[IJRR2024] The official repository for the WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Natural Environments
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions [WACV 2023]
A comprehensive paper list of deep learning for crack detection, in terms of learning paradigms, generalizability and datasets.
Code and pre-trained model for the algorithm generating visualisations of 3 climate change related events: floods, wildfires and smog.
Align and Distill: Unifying and Improving Domain Adaptive Object Detection (TMLR Featured 2025)
Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'25, MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]
Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hotπ₯π₯π₯ fields in Computer Vision based on Deep Learning.
Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18
Domain Adaptation using GAN
AutoAdapt: An Automated Domain Adaptation Framework for Large Language Models