414 citations · 1.1k across the 47 of their papers we have counts for
Showing 2017 · cs.CVShow all
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cs.CV2017★ 136 cited
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…
cs.CV2017
Benchmarking and Error Diagnosis in Multi-Instance Pose Estimation
Matteo Ruggero Ronchi, Pietro Perona
We propose a new method to analyze the impact of errors in algorithms for multi-instance pose estimation and a principled benchmark that can be used to compare them. We define and…
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…