mahfujur1 / Domain-Adaptation-Papers-and-Codes
Domain Adaptation and Domain Generalization
☆17Updated 5 years ago
Alternatives and similar repositories for Domain-Adaptation-Papers-and-Codes:
Users that are interested in Domain-Adaptation-Papers-and-Codes are comparing it to the libraries listed below
- Reproduce DLOW: Domain Flow for Adaptation and Generalization☆20Updated 5 years ago
- Batch-Instance Normalization (BIN)☆79Updated 5 years ago
- This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113☆57Updated last year
- Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.☆113Updated last year
- [ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization☆48Updated 2 years ago
- Pytorch codes for NeurIPS 2021 paper titled "Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data".☆30Updated 2 years ago
- Ready to train Pytorch implementation of the CVPR'19 paper "Self-Supervised GANs via Auxiliary Rotation Loss"☆64Updated 5 years ago
- Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)☆64Updated 3 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 3 years ago
- Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"☆64Updated 3 years ago
- Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019☆71Updated 4 years ago
- ( NeurIPS 2020 ) Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation☆71Updated 3 years ago
- pytorch implementation of fcn in the wild☆25Updated 2 years ago
- ☆68Updated 4 years ago
- Squeeze-and-Excitation module for convolutional neural networks written in PyTorch☆23Updated 6 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- [ECCV2020] Content-Consistent Matching for Domain Adaptive Semantic Segmentation☆94Updated last year
- Pytorch Implementation of Domain Generalization Using a Mixture of Multiple Latent Domains☆99Updated 3 years ago
- Code for the MICCAI DART 2020 paper☆32Updated 3 years ago
- Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).☆70Updated 2 years ago
- PyTorch Implementation of "Learning to Transfer: Unsupervised Domain Translation via Meta-Learning"☆33Updated 5 years ago
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 4 years ago
- Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).☆162Updated 4 years ago
- The pytorch implementation of self-supervised scale equivariant network for weakly supervised semantic segmentation.☆101Updated 4 years ago
- Generalizable Semantic Segmentation viaModel-agnostic Learning and Target-specificNormalization☆28Updated 4 years ago
- Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)☆39Updated 4 years ago
- Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation, CVPR 2020☆104Updated 4 years ago
- Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)☆139Updated 3 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆96Updated last year
- Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"☆55Updated 4 years ago