research
∙
03/29/2016
Instance-sensitive Fully Convolutional Networks
Fully convolutional networks (FCNs) have been proven very successful for...
share
research
∙
03/16/2016
Identity Mappings in Deep Residual Networks
Deep residual networks have emerged as a family of extremely deep archit...
research
∙
12/10/2015
Deep Residual Learning for Image Recognition
Deeper neural networks are more difficult to train. We present a residua...
research
∙
06/04/2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
State-of-the-art object detection networks depend on region proposal alg...
research
∙
04/23/2015
Object Detection Networks on Convolutional Feature Maps
Most object detectors contain two important components: a feature extrac...
research
∙
02/06/2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Rectified activation units (rectifiers) are essential for state-of-the-a...
research
∙
06/18/2014