3 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
Universal Bovine Identification via Depth Data and Deep Metric Learning
Asheesh Sharma, Lucy Randewich, William Andrew +7
This paper proposes and evaluates, for the first time, a top-down (dorsal view), depth-only deep learning system for accurately identifying individual cattle and provides associate…
cs.CV2021★ 3 cited
Towards Self-Supervision for Video Identification of Individual Holstein-Friesian Cattle: The Cows2021 Dataset
Jing Gao, Tilo Burghardt, William Andrew +2
In this paper we publish the largest identity-annotated Holstein-Friesian cattle dataset Cows2021 and a first self-supervision framework for video identification of individual anim…
cs.CV2020
Visual Identification of Individual Holstein-Friesian Cattle via Deep Metric Learning
William Andrew, Jing Gao, Siobhan Mullan +3
Holstein-Friesian cattle exhibit individually-characteristic black and white coat patterns visually akin to those arising from Turing's reaction-diffusion systems. This work takes…