Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
-
Updated
Sep 3, 2024 - 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.
Corruption and Perturbation Robustness (ICLR 2019)
Collection of awesome test-time (domain/batch/instance) adaptation methods
A Harder ImageNet Test Set (CVPR 2021)
Awesome things about domain generalization, including papers, code, etc.
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.
Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization
GMoE could be the next backbone model for many kinds of generalization task.
Domain Generalization with MixStyle (ICLR'21)
ImageNet-R(endition) and DeepAugment (ICCV 2021)
An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"
Code for Transfer Learning book--《迁移学习导论》配套代码
CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522
[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
Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
A Unified Framework for scalable Vehicle Trajectory Prediction, ECCV 2024
Learning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020
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."