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A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images
May 9, 2024, 4:44 a.m. | L\'aszl\'o Kop\'acsi, \'Aron F\'othi, Andr\'as L\H{o}rincz
cs.CV updates on arXiv.org arxiv.org
Abstract: Recognition of individual components and keypoint detection supported by instance segmentation is crucial to analyze the behavior of agents on the scene. Such systems could be used for surveillance, self-driving cars, and also for medical research, where behavior analysis of laboratory animals is used to confirm the aftereffects of a given medicine. A method capable of solving the aforementioned tasks usually requires a large amount of high-quality hand-annotated data, which takes time and money to …
abstract agents analysis analyze animals arxiv behavior behavior analysis cars components cs.ai cs.cv detection driving images instance keypoint detection laboratory medical medical research part rat recognition research segmentation self-driving surveillance systems type
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