Yuxiang Yang Junjie Yang Yufei Xu Jing Zhang Long Lan Dacheng Tao · Apt 36k A Large Scale

Xu Jiayu Yan Zibei Zhang Yufei Editorial Stock Photo - Stock Image | Shutterstock

Xu Jiayu Yan Zibei Zhang Yufei Editorial Stock Photo - Stock Image | Shutterstock Based on the experimental results, we gain some empirical insights and show that apt 36k provides a valuable animal pose estimation and tracking benchmark, offering new challenges and opportunities for future research. the code and dataset will be made publicly available at this https url. This is the official repository of [neurips'23] apt 36k: a large scale benchmark for animal pose estimation and tracking. yuxiang yang, junjie yang, yufei xu, jing zhang, long lan, dacheng tao.

Gold Medalists Xu Jiayu, Qin Haiyang, Zhang Yufei And Yang Junxuan Of... News Photo - Getty Images

Gold Medalists Xu Jiayu, Qin Haiyang, Zhang Yufei And Yang Junxuan Of... News Photo - Getty Images Based on the experimental results, we gain some empirical insights and show that apt 36k provides a useful animal pose estimation and tracking benchmark, offering new challenges and opportunities for future research. We establish apt 36k, i.e., the first large scale dataset with high quality animal pose annotations from consecutive frames for animal pose estimation and tracking. To fill this gap, we introduce aptv2, the pioneering large scale benchmark for animal pose estimation and tracking. aptv2 comprises 2,749 video clips filtered and collected from 30 distinct animal species. Publications apt 36k: a large scale benchmark for animal pose estimation and tracking yuxiang yang, junjie yang, yufei xu, jing zhang, long lan, dacheng tao published: 16 sept 2022, last modified: 04 aug 2025 neurips 2022 datasets and benchmarks.

Junjie Yang - Homepage

Junjie Yang - Homepage To fill this gap, we introduce aptv2, the pioneering large scale benchmark for animal pose estimation and tracking. aptv2 comprises 2,749 video clips filtered and collected from 30 distinct animal species. Publications apt 36k: a large scale benchmark for animal pose estimation and tracking yuxiang yang, junjie yang, yufei xu, jing zhang, long lan, dacheng tao published: 16 sept 2022, last modified: 04 aug 2025 neurips 2022 datasets and benchmarks. Based on the experimental results, we gain some empirical insights and show that apt 36k provides a useful animal pose estimation and tracking benchmark, offering new challenges and opportunities for future research. Bibliographic details on apt 36k: a large scale benchmark for animal pose estimation and tracking. Yuxiang yang, jiangtao guo, zilong li, zhiwei he, jing zhang published: 31 dec 2023, last modified: 12 nov 2024 image vis. comput. 2024 apt 36k: a large scale benchmark for animal pose estimation and tracking yuxiang yang, junjie yang, yufei xu, jing zhang, long lan, dacheng tao. Y. yang, j. yang, y. xu, j. zhang, l. lan, and d. tao. apt 36k: a large scale benchmark for animal pose estimation and tracking. advances in neural information processing systems, 35:17301–17313, 2022.

Feng Sijia douyin with Xu Yang Yuzhuo, Li JiaEn, Zhang Yueming 20240331