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---
title: Augmenting CNNs with attention-based aggregation
emoji: 🌖
colorFrom: green
colorTo: pink
sdk: gradio
app_file: app.py
pinned: false
license: afl-3.0
---
# [Augmenting Convolutional networks with attention-based aggregation](https://arxiv.org/abs/2112.13692)
Get the attention map of the model and understand the reason behind the classification decision.
This model is trained on the ImageNette dataset.
# Made by (equal contribution to space):
- [Aritra Roy Gosthipaty](https://twitter.com/ariG23498)
- [Devjyoti chakraborty](https://twitter.com/Cr0wley_zz)
- [Ritwik Raha](https://twitter.com/ritwik_raha)
# Configuration
`title`: _string_
Display title for the Space
`emoji`: _string_
Space emoji (emoji-only character allowed)
`colorFrom`: _string_
Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
`colorTo`: _string_
Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
`sdk`: _string_
Can be either `gradio`, `streamlit`, or `static`
`sdk_version` : _string_
Only applicable for `streamlit` SDK.
See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions.
`app_file`: _string_
Path to your main application file (which contains either `gradio` or `streamlit` Python code, or `static` html code).
Path is relative to the root of the repository.
`models`: _List[string]_
HF model IDs (like "gpt2" or "deepset/roberta-base-squad2") used in the Space.
Will be parsed automatically from your code if not specified here.
`datasets`: _List[string]_
HF dataset IDs (like "common_voice" or "oscar-corpus/OSCAR-2109") used in the Space.
Will be parsed automatically from your code if not specified here.
`pinned`: _boolean_
Whether the Space stays on top of your list.
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