Domain Adaptation Based on the Triplet Loss
☆113Jun 11, 2019Updated 6 years ago
Alternatives and similar repositories for M-ADDA
Users that are interested in M-ADDA are comparing it to the libraries listed below
Sorting:
- Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)☆102Oct 29, 2018Updated 7 years ago
- Unofficial pytorch implementation of algorithms for domain adaptation☆27Aug 15, 2018Updated 7 years ago
- The official project for CVPR19 paper: Domain-Symmetric Networks for Adversarial Domain Adaptation☆84Mar 29, 2021Updated 4 years ago
- (ICCV'19 Best Paper Nomination) Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation☆187Oct 24, 2019Updated 6 years ago
- A PyTorch implementation for Adversarial Discriminative Domain Adaptation☆493Apr 12, 2022Updated 3 years ago
- Code for 'Open Set Domain Adaptation by Backpropagation'☆77Nov 12, 2018Updated 7 years ago
- Open set domain adaptation☆87Oct 20, 2019Updated 6 years ago
- Code release for "Multi-Adversarial Domain Adaptation" (AAAI 2018)☆61Oct 15, 2018Updated 7 years ago
- PyTorch reimplementation of Moving Semantic Transfer Network☆37Feb 15, 2019Updated 7 years ago
- implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network☆38Mar 12, 2019Updated 6 years ago
- Domain Agnostic Normalization layer for Unsupervised Domain Adaptation☆11Dec 8, 2022Updated 3 years ago
- A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation☆50Aug 29, 2017Updated 8 years ago
- Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018☆131Jan 8, 2019Updated 7 years ago
- ☆16Jun 30, 2018Updated 7 years ago
- ☆58Apr 4, 2019Updated 6 years ago
- Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)☆68Oct 3, 2023Updated 2 years ago
- The re-implement of NIPS 2018 paper: Conditional Adversarial Domain Adaptation☆22Oct 25, 2018Updated 7 years ago
- Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation☆110Jul 14, 2018Updated 7 years ago
- Official Caffe implementation of Boosting Domain Adaptation by Discovering Latent Domains.☆23Aug 12, 2020Updated 5 years ago
- Implementation of "Adversarial Discriminative Domain Adaptation" on pytorch☆31Jun 18, 2017Updated 8 years ago
- ☆10Jun 18, 2019Updated 6 years ago
- ☆12Oct 5, 2019Updated 6 years ago
- ☆579Oct 7, 2022Updated 3 years ago
- Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"☆143Jul 5, 2019Updated 6 years ago
- Code for the paper "Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation" (AAAI-2019)☆41Nov 24, 2018Updated 7 years ago
- Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)☆413Aug 25, 2021Updated 4 years ago
- Code release for "Partial Transfer Learning with Selective Adversarial Networks" (CVPR 2018)☆69Jul 18, 2018Updated 7 years ago
- Implemenation of Asymmetric-TriTraining by Tensorflow☆25Apr 24, 2018Updated 7 years ago
- Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)☆65Mar 11, 2021Updated 4 years ago
- Transfer Learning Library☆463Apr 9, 2021Updated 4 years ago
- ☆29May 2, 2018Updated 7 years ago
- Official Code of Paper HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation (AAAI2020)☆44Jan 3, 2020Updated 6 years ago
- ☆15Jun 19, 2018Updated 7 years ago
- Codes for UODTN; Open domain recognition; CVPR19☆45Mar 4, 2021Updated 5 years ago
- A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation☆45Sep 5, 2017Updated 8 years ago
- Domain Adaptation using GAN☆66Aug 17, 2019Updated 6 years ago
- Unsupervised Domain Adaptation Papers and Code☆765Sep 18, 2021Updated 4 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
- ☆57Oct 3, 2023Updated 2 years ago