36 citations · 240 across the 46 of their papers we have counts for
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cs.LG2017★ 1 cited
Context Embedding Networks
Kun Ho Kim, Oisin Mac Aodha, Pietro Perona
Low dimensional embeddings that capture the main variations of interest in collections of data are important for many applications. One way to construct these embeddings is to acqu…
cs.CV2017★ 16 cited
The iNaturalist Species Classification and Detection Dataset
Grant Van Horn, Oisin Mac Aodha, Yang Song +6
Existing image classification datasets used in computer vision tend to have a uniform distribution of images across object categories. In contrast, the natural world is heavily imb…