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• W3205100603 abstract "Drones, or general UAVs, equipped with cameras have been fast deployed with a wide range of applications, including agriculture, aerial photography, and surveillance. Consequently, automatic understanding of visual data collected from drones becomes highly demanding, bringing computer vision and drones more and more closely. To promote and track the developments of object detection and tracking algorithms, we have organized three challenge workshops in conjunction with ECCV 2018, ICCV 2019 and ECCV 2020, attracting more than 100 teams around the world. We provide a large-scale drone captured dataset, VisDrone, which includes four tracks, i.e., (1) image object detection, (2) video object detection, (3) single object tracking, and (4) multi-object tracking. In this paper, we first present a thorough review of object detection and tracking datasets and benchmarks, and discuss the challenges of collecting large-scale drone-based object detection and tracking datasets with fully manual annotations. After that, we describe our VisDrone dataset, which is captured over various urban/suburban areas of 14 different cities across China from North to South. Being the largest such dataset ever published, VisDrone enables extensive evaluation and investigation of visual analysis algorithms for the drone platform. We provide a detailed analysis of the current state of the field of large-scale object detection and tracking on drones, and conclude the challenge as well as propose future directions. We expect the benchmark largely boost the research and development in video analysis on drone platforms. All the datasets and experimental results can be downloaded from https://github.com/VisDrone/VisDrone-Dataset." @default.
• W3205100603 created "2021-10-25" @default.
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• W3205100603 date "2022-11-01" @default.
• W3205100603 modified "2023-10-14" @default.
• W3205100603 title "Detection and Tracking Meet Drones Challenge" @default.
• W3205100603 cites W1536680647 @default.
• W3205100603 cites W1915785815 @default.
• W3205100603 cites W1973054923 @default.
• W3205100603 cites W2016135469 @default.
• W3205100603 cites W2031454541 @default.
• W3205100603 cites W2037227137 @default.
• W3205100603 cites W2057568004 @default.
• W3205100603 cites W2115734113 @default.
• W3205100603 cites W2117539524 @default.
• W3205100603 cites W2120419212 @default.
• W3205100603 cites W2122469558 @default.
• W3205100603 cites W2124211486 @default.
• W3205100603 cites W2125556102 @default.
• W3205100603 cites W2126302311 @default.
• W3205100603 cites W2150066425 @default.
• W3205100603 cites W2154889144 @default.
• W3205100603 cites W2158592639 @default.
• W3205100603 cites W2164598857 @default.
• W3205100603 cites W2165737454 @default.
• W3205100603 cites W2252355370 @default.
• W3205100603 cites W2323401846 @default.
• W3205100603 cites W2336589871 @default.
• W3205100603 cites W2395596584 @default.
• W3205100603 cites W2519586580 @default.
• W3205100603 cites W2552900565 @default.
• W3205100603 cites W2557641257 @default.
• W3205100603 cites W2560474170 @default.
• W3205100603 cites W2565639579 @default.
• W3205100603 cites W2570343428 @default.
• W3205100603 cites W2579024533 @default.
• W3205100603 cites W2592463526 @default.
• W3205100603 cites W2599547527 @default.
• W3205100603 cites W2601564443 @default.
• W3205100603 cites W2603203130 @default.
• W3205100603 cites W2604588829 @default.
• W3205100603 cites W2604701225 @default.
• W3205100603 cites W2605173812 @default.
• W3205100603 cites W2625286981 @default.
• W3205100603 cites W2681067697 @default.
• W3205100603 cites W2752782242 @default.
• W3205100603 cites W2765877758 @default.
• W3205100603 cites W2766802800 @default.
• W3205100603 cites W2766984662 @default.
• W3205100603 cites W2768634781 @default.
• W3205100603 cites W2776035257 @default.
• W3205100603 cites W2780608998 @default.
• W3205100603 cites W2793130599 @default.
• W3205100603 cites W2794744029 @default.
• W3205100603 cites W2795210153 @default.
• W3205100603 cites W2799166040 @default.
• W3205100603 cites W2886910176 @default.
• W3205100603 cites W2891033863 @default.
• W3205100603 cites W2894651257 @default.
• W3205100603 cites W2898044248 @default.
• W3205100603 cites W2898200825 @default.
• W3205100603 cites W2916780012 @default.
• W3205100603 cites W2916798096 @default.
• W3205100603 cites W2917435394 @default.
• W3205100603 cites W2953920664 @default.
• W3205100603 cites W2960774962 @default.
• W3205100603 cites W2962721361 @default.
• W3205100603 cites W2962749812 @default.
• W3205100603 cites W2962824803 @default.
• W3205100603 cites W2962855257 @default.
• W3205100603 cites W2963063317 @default.
• W3205100603 cites W2963074722 @default.
• W3205100603 cites W2963150697 @default.
• W3205100603 cites W2963179609 @default.
• W3205100603 cites W2963227409 @default.
• W3205100603 cites W2963299996 @default.
• W3205100603 cites W2963351448 @default.
• W3205100603 cites W2963495494 @default.
• W3205100603 cites W2963499661 @default.
• W3205100603 cites W2963534981 @default.
• W3205100603 cites W2963661549 @default.
• W3205100603 cites W2963729050 @default.
• W3205100603 cites W2963782415 @default.
• W3205100603 cites W2963786238 @default.
• W3205100603 cites W2964010755 @default.
• W3205100603 cites W2964111344 @default.
• W3205100603 cites W2964241181 @default.
• W3205100603 cites W2964242925 @default.
• W3205100603 cites W2964286567 @default.
• W3205100603 cites W2964356608 @default.
• W3205100603 cites W2966535964 @default.
• W3205100603 cites W2966759264 @default.

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