# JDAI-CV/CoTNet

<https://repo.masters-masters.com/en/repos/JDAI-CV/CoTNet>

[Home](https://repo.masters-masters.com/en) › [JDAI-CV](https://repo.masters-masters.com/en/owners/JDAI-CV) › [CoTNet](https://repo.masters-masters.com/en/repos/JDAI-CV/CoTNet)

JDAI-CV/CoTNet has 539 stars on GitHub. Its RepoMasters card: Alpha tier. This is an official implementation for "Contextual Transformer Networks for Visual…

| Field | Value |
| --- | --- |
| Owner | [JDAI-CV](https://repo.masters-masters.com/en/owners/JDAI-CV) |
| Stars | 539 |
| Forks | 83 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2021 |
| Topics | imagenet, image-classification, object-detection, semantic-segmentation, instance-segmentation, mscoco, mask-rcnn, cotnet, contextual-transformer, vision-transformer |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [JDAI-CV/CoTNet](https://github.com/JDAI-CV/CoTNet) |

## Repository

This is an official implementation for "Contextual Transformer Networks for Visual Recognition".

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.