Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
-
Updated
Feb 18, 2025 - Python
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
Collection of awesome test-time (domain/batch/instance) adaptation methods
Corruption and Perturbation Robustness (ICLR 2019)
A Harder ImageNet Test Set (CVPR 2021)
Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization
Awesome things about domain generalization, including papers, code, etc.
A Unified Framework for scalable Vehicle Trajectory Prediction, ECCV 2024
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
PyTorch Implementation of GenerSpeech (NeurIPS'22): a text-to-speech model towards zero-shot style transfer of OOD custom voice.
Domain Generalization with MixStyle (ICLR'21)
Code for Transfer Learning book--《迁移学习导论》配套代码
ImageNet-R(endition) and DeepAugment (ICCV 2021)
GMoE could be the next backbone model for many kinds of generalization task.
CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522
An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"
[TPAMI] Searching prompt modules for parameter-efficient transfer learning.
[ECCV 2020] QAConv: Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting, and [CVPR 2022] GS: Graph Sampling Based Deep Metric Learning
A collection of datasets, papers, and resources for Generalizable Human Activity Recognition and IMU sensing.
Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
Add a description, image, and links to the domain-generalization topic page so that developers can more easily learn about it.
To associate your repository with the domain-generalization topic, visit your repo's landing page and select "manage topics."