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ATRW: A Benchmark for Amur Tiger Re-identification in the Wild This paper tries to fill the gap by introducing a novel large-scale dataset, the Amur Tiger Re-identification in the Wild (ATRW) dataset ATRW contains over 8,000 video clips from 92 Amur tigers, with bounding box, pose keypoint, and tiger identity annotations
GitHub - Chocomunk atrw: Amur Tiger Detection and Pose Estimation We use our clustering to generate train val split tests for a YOLOv5 detection model trained on the Amur Tiger Re-Identification in the Wild (ATRW) to form bounding boxes on tigers in images These background-separated splits tell us whether the model is overfitting to the backgrounds
Amur Tiger Re-identification - LILA BC This dataset contains more than 8,000 video clips of 92 individual Amur tigers from 10 zoos in China Around 9500 bounding boxes are provided along with pose keypoints, and around 3600 of those bounding boxes are associated with an individual tiger ID
ATRW: A Benchmark for Amur Tiger Re-identification in the Wild This paper tries to fill the gap by introducing a novel large-scale dataset, the Amur Tiger Re-identification in the Wild (ATRW) dataset ATRW contains over 8,000 video clips from 92 Amur tigers, with bounding box, pose keypoint, and tiger identity annotations
Amur Tiger Re-identification in the Wild - 百度学术 We demonstrate with a set of baseline algorithms that ATRW is a challenging dataset for re-ID Lastly, we propose a novel method for tiger re-identification, which introduces precise pose parts modeling in deep neural networks to handle large pose variation of tigers, and reaches notable performance improvement over existing re-ID methods
ATRW: A Benchmark for Amur Tiger Re-identification in the Wild Article “ATRW: A Benchmark for Amur Tiger Re-identification in the Wild” Detailed information of the J-GLOBAL is a service based on the concept of Linking, Expanding, and Sparking, linking science and technology information which hitherto stood alone to support the generation of ideas
Amur Tiger Re-identification in the Wi - arXiv. org We introduce a new large-scale wildlife dataset ATRW, which contains 92 Amur tiger identities from multi-ple wild zoos, 8,076 high-resolution video clips from multiple cameras in which tigers are annotated with bounding box positions, pose keypoints and identities on sampled frames