# alokwhitewolf/Guided-Attention-Inference-Network

<https://repo.masters-masters.com/en/repos/alokwhitewolf/Guided-Attention-Inference-Network>

[Home](https://repo.masters-masters.com/en) › [alokwhitewolf](https://repo.masters-masters.com/en/owners/alokwhitewolf) › [Guided-Attention-Inference-Network](https://repo.masters-masters.com/en/repos/alokwhitewolf/Guided-Attention-Inference-Network)

alokwhitewolf/Guided-Attention-Inference-Network has 237 stars on GitHub. Its RepoMasters card: Prototype tier. Contains implementation of Guided Attention…

| Field | Value |
| --- | --- |
| Owner | [alokwhitewolf](https://repo.masters-masters.com/en/owners/alokwhitewolf) |
| Stars | 237 |
| Forks | 43 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | neural-network, computer, computer-vision, attention, attention-mechanism, deep-learning, cvpr2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [alokwhitewolf/Guided-Attention-Inference-Network](https://github.com/alokwhitewolf/Guided-Attention-Inference-Network) |

## Repository

Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.

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.