# GewelsJI/SINet-V2

<https://repo.masters-masters.com/en/repos/GewelsJI/SINet-V2>

[Home](https://repo.masters-masters.com/en) › [GewelsJI](https://repo.masters-masters.com/en/owners/GewelsJI) › [SINet-V2](https://repo.masters-masters.com/en/repos/GewelsJI/SINet-V2)

GewelsJI/SINet-V2 has 282 stars on GitHub. Its RepoMasters card: Alpha tier. Concealed Object Detection (SINet-V2, IEEE TPAMI 2022). Code is implemented by…

| Field | Value |
| --- | --- |
| Owner | [GewelsJI](https://repo.masters-masters.com/en/owners/GewelsJI) |
| Stars | 282 |
| Forks | 59 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2021 |
| Topics | camoufalge, conceal, camouflaged-object-detection, deep-learning, pytorch, defect-detection, jittor |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [GewelsJI/SINet-V2](https://github.com/GewelsJI/SINet-V2) |

## Repository

Concealed Object Detection (SINet-V2, IEEE TPAMI 2022). Code is implemented by PyTorch/Jittor frameworks.

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.