The First Competition on Resource-Limited Infrared Small Target Detection Challenge: Methods and Results

TL;DR

This paper summarizes the inaugural resource-limited infrared small target detection competition, highlighting methods, results, and encouraging further research for deploying infrared detection under constrained resources.

Contribution

It introduces a new competition with two tracks focusing on weakly-supervised and lightweight infrared small target detection, fostering community engagement and progress.

Findings

46 teams participated in Track 1

60 teams participated in Track 2

Top methods achieved significant detection improvements

Abstract

In this paper, we briefly summarize the first competition on resource-limited infrared small target detection (namely, LimitIRSTD). This competition has two tracks, including weakly-supervised infrared small target detection (Track 1) and lightweight infrared small target detection (Track 2). 46 and 60 teams successfully registered and took part in Tracks 1 and Track 2, respectively. The top-performing methods and their results in each track are described with details. This competition inspires the community to explore the tough problems in the application of infrared small target detection, and ultimately promote the deployment of this technology under limited resource.