Classification-SemiCLS | Code for CVPR 2022 paper “ Class-Aware Contrastive

by TencentYoutuResearch Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | Classification-SemiCLS Summary

Classification-SemiCLS is a Python library. Classification-SemiCLS has no bugs, it has no vulnerabilities, it has build file available and it has low support. However Classification-SemiCLS has a Non-SPDX License. You can download it from GitHub.

Code for CVPR 2022 paper “Class-Aware Contrastive Semi-Supervised Learning”

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Quality

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Support

Classification-SemiCLS has a low active ecosystem.

It has 58 star(s) with 11 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 7 have been closed. On average issues are closed in 15 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Classification-SemiCLS is current.

Quality

Classification-SemiCLS has no bugs reported.

Security

Classification-SemiCLS has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Classification-SemiCLS has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

Classification-SemiCLS releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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Classification-SemiCLS Key Features

No Key Features are available at this moment for Classification-SemiCLS.

Classification-SemiCLS Examples and Code Snippets

No Code Snippets are available at this moment for Classification-SemiCLS.

Community Discussions

No Community Discussions are available at this moment for Classification-SemiCLS.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Classification-SemiCLS

Clone this repo to your machine and install dependencies: We use torch==1.6.0 and torchvision==0.12.0 for CUDA 10.1 You may have to adapt for your own CUDA and install corresponding mmcv-full version. (Make sure your mmcv-full version is later than 1.3.2).

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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