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

2 citations

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2 papers

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…

cs.CV2015

Convolutional Architecture Exploration for Action Recognition and Image Classification

J. T. Turner, David Aha, Leslie Smith +1

Convolutional Architecture for Fast Feature Encoding (CAFFE) [11] is a software package for the training, classifying, and feature extraction of images. The UCF Sports Action datas…