Code release for "Multi-Adversarial Domain Adaptation" (AAAI 2018)
☆61Oct 15, 2018Updated 7 years ago
Alternatives and similar repositories for MADA
Users that are interested in MADA are comparing it to the libraries listed below
Sorting:
- Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)☆102Oct 29, 2018Updated 7 years ago
- ☆16Jun 30, 2018Updated 7 years ago
- The re-implement of NIPS 2018 paper: Conditional Adversarial Domain Adaptation☆22Oct 25, 2018Updated 7 years ago
- Unfinished Work: Implementation of Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) in Pytorch☆16Dec 6, 2019Updated 6 years ago
- A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation☆50Aug 29, 2017Updated 8 years ago
- Open set domain adaptation☆87Oct 20, 2019Updated 6 years ago
- Experiments on Multi-Source Domain Adaptation☆26Jan 4, 2019Updated 7 years ago
- Code release for "Partial Transfer Learning with Selective Adversarial Networks" (CVPR 2018)☆69Jul 18, 2018Updated 7 years ago
- Code for 'Open Set Domain Adaptation by Backpropagation'☆77Nov 12, 2018Updated 7 years ago
- Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)☆413Aug 25, 2021Updated 4 years ago
- Domain Adaptation Based on the Triplet Loss☆113Jun 11, 2019Updated 6 years ago
- Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)☆81May 12, 2019Updated 6 years ago
- Code repository for the VisDA-17 experiments in our paper 'Self-ensembling for Domain Adaptation'☆74Jan 22, 2022Updated 4 years ago
- Code release for Universal Domain Adaptation(CVPR 2019)☆281Jan 10, 2023Updated 3 years ago
- ☆577Oct 7, 2022Updated 3 years ago
- Implemenation of Asymmetric-TriTraining by Tensorflow☆26Apr 24, 2018Updated 7 years ago
- Code release for Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation (TCSVT 2023)☆24Oct 20, 2023Updated 2 years ago
- Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation☆110Jul 14, 2018Updated 7 years ago
- ☆58Apr 4, 2019Updated 6 years ago
- Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)☆65Mar 11, 2021Updated 5 years ago
- ☆12Sep 29, 2019Updated 6 years ago
- Transfer Learning Library☆463Apr 9, 2021Updated 4 years ago
- ☆130Feb 28, 2018Updated 8 years ago
- The official project for CVPR19 paper: Domain-Symmetric Networks for Adversarial Domain Adaptation☆84Mar 29, 2021Updated 4 years ago
- Codes for UODTN; Open domain recognition; CVPR19☆45Mar 4, 2021Updated 5 years ago
- Collaborative and Adversarial Network for Unsupervised Domain Adaptation(iCAN)☆34Oct 28, 2020Updated 5 years ago
- Wasserstein Based Domain Adaptation Model☆46Jan 2, 2019Updated 7 years ago
- Demo code for the MDAN paper.☆127Feb 4, 2020Updated 6 years ago
- Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018☆131Jan 8, 2019Updated 7 years ago
- Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)☆161Oct 4, 2017Updated 8 years ago
- PyTorch reimplementation of Moving Semantic Transfer Network☆37Feb 15, 2019Updated 7 years ago
- A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation☆45Sep 5, 2017Updated 8 years ago
- Semi-supervised Domain Adaptation via Minimax Entropy☆308Oct 3, 2023Updated 2 years ago
- Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation presented at ICCV 2019.☆163Oct 3, 2023Updated 2 years ago
- Domain Agnostic Normalization layer for Unsupervised Domain Adaptation☆11Dec 8, 2022Updated 3 years ago
- Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"☆174Aug 29, 2020Updated 5 years ago
- Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".☆142Jun 14, 2019Updated 6 years ago
- ☆34Apr 7, 2018Updated 7 years ago
- Official Caffe implementation of Boosting Domain Adaptation by Discovering Latent Domains.☆23Aug 12, 2020Updated 5 years ago