# Arhosseini77/SUM

<https://repo.masters-masters.com/en/repos/Arhosseini77/SUM>

[Home](https://repo.masters-masters.com/en) › [Arhosseini77](https://repo.masters-masters.com/en/owners/Arhosseini77) › [SUM](https://repo.masters-masters.com/en/repos/Arhosseini77/SUM)

Arhosseini77/SUM has 105 stars on GitHub. Its RepoMasters card: Prototype tier. \[WACV2025 Oral\] SUM: Saliency Unification through Mamba for Visual Attention…

| Field | Value |
| --- | --- |
| Owner | [Arhosseini77](https://repo.masters-masters.com/en/owners/Arhosseini77) |
| Stars | 105 |
| Forks | 15 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | mamba, mamba-state-space-models, saliency, saliency-map, saliency-prediction, visual-attention, marketing, saliency-methods, saliency-model, mamba-image |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Arhosseini77/SUM](https://github.com/Arhosseini77/SUM) |

## Repository

\[WACV2025 Oral\] SUM: Saliency Unification through Mamba for Visual Attention Modeling

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.