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20152017
most citedKeypoint Density-based Region Proposal for Fine-Grained Object Detection and Classification using Regions with Convolutional Neural Network Features

2 citations · 2 across the 2 of their papers we have counts for

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Showing 2016 · cs.CVShow all

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cs.CV2016★ 2 cited

Keypoint Density-based Region Proposal for Fine-Grained Object Detection and Classification using Regions with Convolutional Neural Network Features

JT Turner, Kalyan Gupta, Brendan Morris +1

Although recent advances in regional Convolutional Neural Networks (CNNs) enable them to outperform conventional techniques on standard object detection and classification tasks, t…