1.5k citations · 3.1k across the 62 of their papers we have counts for
3 papers · 1 filter
DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection
Gedas Bertasius, Jianbo Shi, Lorenzo Torresani
Contour detection has been a fundamental component in many image segmentation and object detection systems. Most previous work utilizes low-level features such as texture or salien…
Learning Spatiotemporal Features with 3D Convolutional Networks
Du Tran, Lubomir Bourdev, Rob Fergus +2
We propose a simple, yet effective approach for spatiotemporal feature learning using deep 3-dimensional convolutional networks (3D ConvNets) trained on a large scale supervised vi…
Self-taught Object Localization with Deep Networks
Loris Bazzani, Alessandro Bergamo, Dragomir Anguelov +1
This paper introduces self-taught object localization, a novel approach that leverages deep convolutional networks trained for whole-image recognition to localize objects in images…