2 papers
cs.CV2026
Overhead Wildlife Locator (OWL): Benchmarking Weakly Supervised Learning for Aerial Wildlife Surveys
Isai Daniel Chacón, Zhongqi Miao, Bruno Demuro +9
Automated aerial wildlife surveys increasingly rely on deep learning, yet standard object detectors require bounding-box annotations, reported to be up to seven times slower and th…
cs.CV2024
Multispecies Animal Re-ID Using a Large Community-Curated Dataset
Lasha Otarashvili, Tamilselvan Subramanian, Jason Holmberg +2
Recent work has established the ecological importance of developing algorithms for identifying animals individually from images. Typically, a separate algorithm is trained for each…