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08/01/2018
Towards a Semantic Perceptual Image Metric
We present a full reference, perceptual image metric based on VGG-16, an...
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03/21/2017
No Fuss Distance Metric Learning using Proxies
We address the problem of distance metric learning (DML), defined as lea...
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02/10/2017
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
Batch Normalization is quite effective at accelerating and improving the...
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02/23/2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Very deep convolutional networks have been central to the largest advanc...
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12/02/2015
Rethinking the Inception Architecture for Computer Vision
Convolutional networks are at the core of most state-of-the-art computer...
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02/11/2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Training Deep Neural Networks is complicated by the fact that the distri...
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12/03/2014
Scalable, High-Quality Object Detection
Current high-quality object detection approaches use the scheme of salie...
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12/17/2013