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yzou2 avatar

yzou2/CRST

0
View on GitHub↗
238 stars·30 forks·Python·9 views

CRST

Code for in ICCV19 (Oral)

Features

  • General Adaptation Techniques - Regularizes self-training with confidence-based mechanisms.

Star history

Star history chart for yzou2/crstStar history chart for yzou2/crst

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to CRST

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    CVPR 2021 Oral Code release for "Transferable Semantic Augmentation for Domain Adaptation"

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  • astuti/ila-daastuti avatar

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    More Details coming soon. If you have any questions regarding our code, please contact asharma@eng.ucsd.edu ILA-DA CVPR2021

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See all 26 alternatives to CRST→

Frequently asked questions

What does yzou2/crst do?

Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)

What are the main features of yzou2/crst?

The main features of yzou2/crst are: General Adaptation Techniques.

What are some open-source alternatives to yzou2/crst?

Open-source alternatives to yzou2/crst include: bit-da/dda — Code release for "Dynamic Domain Adaptation for Efficient Inference" (CVPR 2021). bit-da/tsa — [CVPR 2021 Oral] Code release for "Transferable Semantic Augmentation for Domain Adaptation". corenel/pytorch-atda — A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation. cuishuhao/bnm — code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations… enesdoruk/transadapter — TransAdapter: Vision Transformer for Feature-Centric Unsupervised Domain Adaptation. astuti/ila-da — More Details coming soon. If you have any questions regarding our code, please contact asharma@eng.ucsd.edu ILA-DA…