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Awesome-Domain-Adaptation
:sunglasses: A curated list of domain adaptation papers, datasets and other resources.
https://github.com/jarvisWang0903/Awesome-Domain-Adaptation
- Domain adaptation
- Batch-level Experience Replay with Review for Continual Learning
- Multitask Learning Strengthens Adversarial Robustness
- Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model
- Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis
- Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation
- Automated Synthetic-to-Real Generalization
- TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning
- Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation
- Domain Adaptation and Image Classification via Deep Conditional Adaptation Network
- Rethinking the Value of Labels for Improving Class-Imbalanced Learning
- Domain Adaptation with Morphologic Segmentation
- DSDANet: Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection
- RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real
- ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation
- Mining Label Distribution Drift in Unsupervised Domain Adaptation
- Simple and effective localized attribute representations for zero-shot learning
- Fully Test-time Adaptation by Entropy Minimization
- Online Deep Clustering for Unsupervised Representation Learning
- Gradient Amplification: An efficient way to train deep neural networks
- Contrastive learning of global and local features for medical image segmentation with limited annotations
- Learning High-Resolution Domain-Specific Representations with a GAN Generator
- SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning
- Joint Contrastive Learning for Unsupervised Domain Adaptation
- Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation
- Feature Alignment and Restoration for Domain Generalization and Adaptation
- Unsupervised Vehicle Re-identification with Progressive Adaptation
- Auto-Encoding for Shared Cross Domain Feature Representation and Image-to-Image Translation
- Calibrated Adversarial Refinement for Multimodal Semantic Segmentation
- Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation
- FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search
- Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment
- Contrastive Generative Adversarial Networks
- Learn Faster and Forget Slower via Fast and Stable Task Adaptation
- Self domain adapted network
- Moment-Based Domain Adaptation: Learning Bounds and Algorithms
- Bridging Theory and Algorithm for Domain Adaptation
- Transfer Adaptation Learning: A Decade Survey