Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"
☆56Aug 24, 2020Updated 5 years ago
Alternatives and similar repositories for DMG
Users that are interested in DMG are comparing it to the libraries listed below
Sorting:
- The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, htt…☆151Apr 17, 2019Updated 6 years ago
- Implementation and datasets for Efficient Domain Generalization via Common-Specific Low-Rank Decomposition (https://arxiv.org/abs/2003.12…☆53Jul 10, 2020Updated 5 years ago
- [NIPS 2020] The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization'☆66Nov 4, 2020Updated 5 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆12Aug 17, 2021Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆124Dec 14, 2021Updated 4 years ago
- This repository is an unofficial implementation in PyTorch for Learning to Generate Novel Domains for Domain Generalization☆22Oct 10, 2021Updated 4 years ago
- This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020☆167Mar 18, 2021Updated 4 years ago
- [ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization☆48Jun 22, 2022Updated 3 years ago
- Dataset accompanying the paper "Adaptive Methods for Real-World Domain Generalization"☆16Aug 17, 2023Updated 2 years ago
- The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)☆147Jun 15, 2020Updated 5 years ago
- T-GD: Transferable GAN-generated Images Detection Framework. (ICML 2020)☆18May 12, 2021Updated 4 years ago
- ☆19Jan 13, 2021Updated 5 years ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆105Dec 2, 2021Updated 4 years ago
- All about domain generalization☆841Feb 25, 2025Updated last year
- The Pytorch implementation for "Uncertainty-guided Model Generalization to Unseen Domains" (CVPR 2021)☆22Feb 3, 2022Updated 4 years ago
- ☆19Jul 18, 2022Updated 3 years ago
- Domain Generalization via Model-Agnostic Learning of Semantic Features☆149Mar 24, 2023Updated 2 years ago
- Domain Generalization via Entropy Regularization, NeurIPS'20☆68Dec 1, 2020Updated 5 years ago
- ☆39Jun 12, 2021Updated 4 years ago
- Official Implementation of SWAD (NeurIPS 2021)☆171Dec 10, 2022Updated 3 years ago
- Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.☆11Oct 20, 2020Updated 5 years ago
- Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).☆75May 10, 2022Updated 3 years ago
- Official code for "Towards Recognizing Unseen Categories in Unseen Domains"☆64Dec 8, 2022Updated 3 years ago
- Gradients as Features for Deep Representation Learning☆43Mar 8, 2020Updated 5 years ago
- Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"☆11Jan 21, 2024Updated 2 years ago
- [ICML 2022] Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder☆24Feb 25, 2024Updated 2 years ago
- ☆111Sep 20, 2023Updated 2 years ago
- ☆73Jun 27, 2023Updated 2 years ago
- Official code release for the NeurIPS 2021 article Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time…☆10Nov 17, 2021Updated 4 years ago
- This repo includes our code for evaluating and improving transferability in domain generalization (NeurIPS 2021)☆13Nov 1, 2022Updated 3 years ago
- Generate custom text files for dataloader within UDA methods☆14May 24, 2023Updated 2 years ago
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Dec 10, 2020Updated 5 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Sep 4, 2023Updated 2 years ago
- Source code of a ICML2021 paper, A Bit More Bayesian: Domain-Invariant Learning with Uncertainty☆13Jan 20, 2022Updated 4 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆175Oct 3, 2023Updated 2 years ago
- This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …☆27Aug 1, 2021Updated 4 years ago
- Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)☆125Dec 8, 2022Updated 3 years ago
- [ECCV-2022]Grounding Visual Representations with Texts for Domain Generalization☆30Apr 7, 2023Updated 2 years ago
- code for our paper localized adversarial domain generalization☆15Jun 18, 2022Updated 3 years ago