Article

Enhancing Aerial Human Action Recognition through GAN-boosted ResNeXt Architecture with Squeeze-and-Excitation Network

2023-09-06

Abstract excerpt

<title>Abstract</title> <p>Recognizing human actions in aerial videos captured by Unmanned Aerial Vehicles (UAVs) presents a significant challenge due to reduced resolution and blurry appearance of humans. To address this, we propose a novel two-module system, GAN-SE, that tackles these limitations and achieves remarkable improvements in human action recognition. The first module employs a super-resolution GAN to...

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Literature Corpus work: 417ccea4-9535-585f-a5dd-23bd0d7a3ff8
DOI: 10.21203/rs.3.rs-3319188/v1

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