136 citations · 163 across the 2 of their papers we have counts for
4 papers
Benchmarking Representation Learning for Natural World Image Collections
Grant Van Horn, Elijah Cole, Sara Beery +3
Recent progress in self-supervised learning has resulted in models that are capable of extracting rich representations from image collections without requiring any explicit label s…
The iWildCam 2018 Challenge Dataset
Sara Beery, Grant van Horn, Oisin Mac Aodha +1
Camera traps are a valuable tool for studying biodiversity, but research using this data is limited by the speed of human annotation. With the vast amounts of data now available it…
Recognition in Terra Incognita
Sara Beery, Grant van Horn, Pietro Perona
It is desirable for detection and classification algorithms to generalize to unfamiliar environments, but suitable benchmarks for quantitatively studying this phenomenon are not ye…
The Devil is in the Tails: Fine-grained Classification in the Wild
Grant Van Horn, Pietro Perona
The world is long-tailed. What does this mean for computer vision and visual recognition? The main two implications are (1) the number of categories we need to consider in applicat…