The workshop encourages participants to develop intelligent computer vision and machine learning algorithms that can detect and track UAV targets in thermal infrared videos with high accuracy and …

Apr 6, 2025 · 【4th Anti-UAV】Track-1 - Leaderboard: 19th (0.5813305924) yuhsi chen 43 subscribers Subscribe

Extensive experiments conducted on the 4th Anti-UAV Challenge and the Anti-UAV410 dataset demonstrate the superiority of our method. Notably, we achieved fourth and third places in Track 1 …

Mar 3, 2025 · The workshop encourages participants to develop intelligent computer vision and machine learning algorithms that can detect and track UAV targets in thermal infrared videos with high …

Mar 3, 2025 · This dataset is the official release for the 4th Anti-UAV Challenge. Train Track 1 & Track 2: Google Drive | Baidu Track 3: Google Drive | Baidu Test Track 1: Google Drive | Baidu Track 2: …

Dec 6, 2025 · This page documents the Single Object Tracking (SOT) datasets used for Track 1 and Track 2 of the 4th Anti-UAV Workshop & Challenge. These datasets consist of thermal infrared video …

MOTA ranges from 0 to 1, with higher values indicating better tracking accuracy. It is a comprehensive metric that reflects tracking performance by considering these errors.

【4th Anti-UAV】Track-1 - Leaderboard: 19th (0.5813305924) yuhsi chen • 190 views • 7 months ago

Catch UAVs that Want to Watch You: Detection and Tracking of Unmanned Aerial Vehicle (UAV) in the Wild and the 4th Anti-UAV Workshop & Challenge Enhancing Few-Shot Class-Incremental Learning …

Compared to the previous challenge, we further enlarge the dataset this year by adding more challenging video sequences with dynamic backgrounds, complex movements, and tiny-scale …