# GewelsJI/DGNet

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

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

GewelsJI/DGNet has 125 stars on GitHub. Its RepoMasters card: Prototype tier. Deep Gradient Network for Camouflaged Object Detection (MIR 2023). Our codebase…

| Field | Value |
| --- | --- |
| Owner | [GewelsJI](https://repo.masters-masters.com/en/owners/GewelsJI) |
| Stars | 125 |
| Forks | 18 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | deep-learning, jittor, pytorch, camouflage, camouflaged-object-detection, concealed-object-detection, ascend |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [GewelsJI/DGNet](https://github.com/GewelsJI/DGNet) |

## Repository

Deep Gradient Network for Camouflaged Object Detection (MIR 2023). Our codebase supports PyTorch & Jittor & Huawei-Ascend platforms..

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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