117 Open source projects that are alternatives of or similar to DAS

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Learning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

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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

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Deep Transfer Learning Papers

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Inference pipeline for the CVPR paper entitled "Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer" (http://www.atapour.co.uk/papers/CVPR2018.pdf).

[ICCV 2019 (Oral)] Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (PyTorch)

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Source code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019

A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance

code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

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

Implementation of "SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses"

《迁移学习简明手册》LaTex源码

Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)

Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation, to be presented at ICCV 2019.

[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)

stylegan-nada.github.io/

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

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

resource collection for transfer learning!

Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"

A collection of AWESOME things about domian adaptation

Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)

Code for implementation of Unlearning Scanner Bias for MRI Harmonisation

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

A PyTorch Detectron codebase for domain adaptation of object detectors.

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification (https://arxiv.org/pdf/1711.07027.pdf). CVPR2018

ImageNet-R(endition) and DeepAugment

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

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Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)

Library of transfer learners and domain-adaptive classifiers.

[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation

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python 3 pytorch implementation of DANN

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Python toolbox for transfer learning.

self-supervised domain adaptation

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

Official Implementation of "Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers"

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Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

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