# Reproduction Report on "Learn to Pay Attention"

Source: [Reproduction Report on "Learn to Pay Attention"](<https://www.sota2.com/research/paper/68fa65341e209131cea08ed2>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-28T13:56:37.609Z

Authors: Levan Shugliashvili, Davit Soselia, Shota Amashukeli, Irakli Koberidze

Published: 2018-12-11T19:05:23.000Z

## Abstract

We have successfully implemented the "Learn to Pay Attention" model of attention mechanism in convolutional neural networks, and have replicated the results of the original paper in the categories of image classification and fine-grained recognition.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1812.04650>)

[PDF](<https://arxiv.org/pdf/1812.04650.pdf>)