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Aerial Animal Biometrics: Individual Friesian Cattle Recovery and Visual Identification via an Autonomous UAV with Onboard Deep Inference.

, , and . IROS, page 237-243. IEEE, (2019)

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Automatic individual holstein friesian cattle identification via selective local coat pattern matching in RGB-D imagery., , , and . ICIP, page 484-488. IEEE, (2016)A Dataset and Application for Facial Recognition of Individual Gorillas in Zoo Environments., and . CoRR, (2020)Video-TransUNet: Temporally Blended Vision Transformer for CT VFSS Instance Segmentation., , , , and . CoRR, (2022)Small or Far Away? Exploiting Deep Super-Resolution and Altitude Data for Aerial Animal Surveillance., , , and . CoRR, (2021)PanAf20K: A Large Video Dataset for Wild Ape Detection and Behaviour Recognition., , , , , , , , , and 17 other author(s). CoRR, (2024)Meta-Learning with Context-Agnostic Initialisations., , , , and . ACCV (4), volume 12625 of Lecture Notes in Computer Science, page 70-86. Springer, (2020)Small or Far Away? Exploiting Deep Super-Resolution and Altitude Data for Aerial Animal Surveillance., , , and . WACV (Workshops), page 509-519. IEEE, (2022)DS-KCF: a real-time tracker for RGB-D data., , , , , , , and . J. Real Time Image Process., 16 (5): 1439-1458 (2019)Fusing Animal Biometrics with Autonomous Robotics: Drone-based Search and Individual ID of Friesian Cattle (Extended Abstract)., , and . WACV Workshops, page 38-43. IEEE, (2020)Automated Visual Fin Identification of Individual Great White Sharks., and . Int. J. Comput. Vis., 122 (3): 542-557 (2017)