Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.
☆54Oct 3, 2023Updated 2 years ago
Alternatives and similar repositories for ALDA
Users that are interested in ALDA are comparing it to the libraries listed below
Sorting:
- Unsupervised domain adaptation with unified joint distribution alignment☆18Jul 1, 2025Updated 8 months ago
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆53Dec 20, 2021Updated 4 years ago
- Code release for Discriminative Adversarial Domain Adaptation (AAAI2020).☆120Apr 9, 2020Updated 5 years ago
- Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).☆164Jun 9, 2020Updated 5 years ago
- TPAMI2020 "Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice"☆74Apr 14, 2021Updated 4 years ago
- Implementation of paper multi-source distilling domain adaptation☆56Feb 6, 2020Updated 6 years ago
- ICME2022 Special Session “Beyond Accuracy: Responsible, Responsive, and Robust Multimedia Retrieval ”☆12Jun 3, 2024Updated last year
- Translation of DeepJDOT into pytorch.☆10May 31, 2021Updated 4 years ago
- Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.☆117Oct 3, 2023Updated 2 years ago
- Implementation of "Dual Mixup Regularized Learning for Adversarial Domain Adaptation" in Pytorch☆13Apr 8, 2021Updated 4 years ago
- Code for the paper "Deep Joint Two-stream Wasserstein Auto-Encoder and Selective Attention Alignment for Unsupervised Domain Adaptation" …☆11Jun 7, 2019Updated 6 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
- Experiments on Multi-Source Domain Adaptation☆26Jan 4, 2019Updated 7 years ago
- The official project for CVPR19 paper: Domain-Symmetric Networks for Adversarial Domain Adaptation☆84Mar 29, 2021Updated 4 years ago
- Code for Adversarial Reweighting for Partial Domain Adaptation (NeurIPS 2021)☆35Oct 3, 2023Updated 2 years ago
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆51Sep 6, 2022Updated 3 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
- Code release for Universal Domain Adaptation(CVPR 2019)☆281Jan 10, 2023Updated 3 years ago
- Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift☆39Oct 28, 2020Updated 5 years ago
- Entropy Minimization vs. Diversity Maximization for Domain Adaptation☆15Feb 9, 2020Updated 6 years ago
- Custom Domain Adaptation: a new method for cross-subject, EEG-based cognitive load recognition☆15Jul 25, 2021Updated 4 years ago
- Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)☆81May 12, 2019Updated 6 years ago
- Code for "Divergence Optimization for Noisy Universal Domain Adaptation"☆11Jun 12, 2021Updated 4 years ago
- Center Loss (Pytorch Version)☆12Dec 21, 2020Updated 5 years ago
- Codes for "Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation" in CVPR 2021☆69Oct 24, 2022Updated 3 years ago
- Code released for our ECCV 2022 paper "Interpretable Open-Set Domain Adaptation via Angular Margin Separation".☆23Dec 26, 2022Updated 3 years ago
- Code Release for "Learning to Detect Open Classes for Universal Domain Adaptation"(ECCV2020)☆30Sep 13, 2021Updated 4 years ago
- Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling☆62Jan 29, 2022Updated 4 years ago
- ☆577Oct 7, 2022Updated 3 years ago
- A simple, fast, efficient and end-to-end 3D object detector without NMS.☆30Nov 30, 2021Updated 4 years ago
- pytorch implementation for Contrastive Adaptation Network☆346Nov 1, 2020Updated 5 years ago
- Code refactoring for paper "Domain Generalization with Adversarial Feature Learning" in VLCS datasets.☆57Dec 24, 2019Updated 6 years ago
- Caffe: a fast open framework for deep learning.☆137Aug 28, 2015Updated 10 years ago
- Bayesian Deep Learning Library☆14Oct 27, 2023Updated 2 years ago
- Official Caffe implementation of Boosting Domain Adaptation by Discovering Latent Domains.☆23Aug 12, 2020Updated 5 years ago
- Robust Optimal Transport code☆43Oct 6, 2022Updated 3 years ago
- ☆58Apr 4, 2019Updated 6 years ago
- Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".☆142Jun 14, 2019Updated 6 years ago
- ☆16Nov 2, 2020Updated 5 years ago