733 citations · 1.3k across the 48 of their papers we have counts for
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Visual Microfossil Identification via Deep Metric Learning
Tayfun Karaderi, Tilo Burghardt, Allison Y. Hsiang +2
We apply deep metric learning for the first time to the problem of classifying planktic foraminifer shells on microscopic images. This species recognition task is an important info…
Small or Far Away? Exploiting Deep Super-Resolution and Altitude Data for Aerial Animal Surveillance
Mowen Xue, Theo Greenslade, Majid Mirmehdi +1
Visuals captured by high-flying aerial drones are increasingly used to assess biodiversity and animal population dynamics around the globe. Yet, challenging acquisition scenarios a…
Seeing biodiversity: perspectives in machine learning for wildlife conservation
Devis Tuia, Benjamin Kellenberger, Sara Beery +15
Data acquisition in animal ecology is rapidly accelerating due to inexpensive and accessible sensors such as smartphones, drones, satellites, audio recorders and bio-logging device…
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…
Temporal-Relational CrossTransformers for Few-Shot Action Recognition
Toby Perrett, Alessandro Masullo, Tilo Burghardt +2
We propose a novel approach to few-shot action recognition, finding temporally-corresponding frame tuples between the query and videos in the support set. Distinct from previous fe…