mlsanityData to 7 Oct 2026

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

arXiv 2108.09909 ↗First posted 23 Aug 2021cs.CVcited by 13

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Abstract (arXiv)

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/.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). Builds on 10 of its 15 references that are in the map. First posted on arXiv 23 Aug 2021.

Builds on

10 of 15 references.

References · 10

  1. 2018SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networkscited by 445
  2. 2021Transformer Trackingcited by 412
  3. 2016ECO: Efficient Convolution Operators for Trackingcited by 239
  4. 2019Siam R-CNN: Visual Tracking by Re-Detectioncited by 174
  5. 2020Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimationcited by 81
  6. 2020High-Performance Long-Term Tracking with Meta-Updatercited by 79
  7. 2020Effective Fusion Factor in FPN for Tiny Object Detectioncited by 44
  8. 2021Anti-UAV: A Large Multi-Modal Benchmark for UAV Trackingcited by 31
  9. 2020How to Train Your Energy-Based Model for Regressioncited by 23
  10. 2018Object Relation Detection Based on One-shot Learningcited by 3

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Citing papers per year: 2022: 3; 2023: 1; 2024: 6; 2025: 3.

13 papers.

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