The 2nd Anti-UAV Workshop & Challenge: Methods and Results

TL;DR

This paper summarizes the 2nd Anti-UAV Workshop and Challenge, highlighting the development of novel multi-scale UAV tracking methods, the publicly released dataset, and the competition results involving global research teams.

Contribution

It introduces a new benchmark dataset for multi-scale UAV tracking and provides a summary of the top methods and results from the challenge.

Findings

Multiple teams developed accurate multi-scale UAV tracking methods.

The dataset includes 140 thermal infrared video sequences.

Top methods achieved significant improvements in UAV tracking accuracy.

Abstract

The 2nd Anti-UAV Workshop \& Challenge aims to encourage research in developing novel and accurate methods for multi-scale object tracking. The Anti-UAV dataset used for the Anti-UAV Challenge has been publicly released. There are two subsets in the dataset, $i.e.$, the test-dev subset and test-challenge subset. Both subsets consist of 140 thermal infrared video sequences, spanning multiple occurrences of multi-scale UAVs. Around 24 participating teams from the globe competed in the 2nd Anti-UAV Challenge. In this paper, we provide a brief summary of the 2nd Anti-UAV Workshop \& Challenge including brief introductions to the top three methods.The submission leaderboard will be reopened for researchers that are interested in the Anti-UAV challenge. The benchmark dataset and other information can be found at: https://anti-uav.github.io/.