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ImageNet

Known as: ImageNet Large Scale Visual Recognition Challenge, ImageNet competition 
The ImageNet project is a large visual database designed for use in visual object recognition software research. As of 2016, over ten million URLs of… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Homomorphic Encryption (HE) is one of the most promising security solutions to emerging Machine Learning as a Service (MLaaS… 
2018
2018
In recent years, advances in the design of convolutional neural networks have resulted in significant improvements on the image… 
2018
2018
The present work shows the application of transfer learning for a pre-trained deep neural network (DNN), using a small image… 
2017
2017
The standard model of memory consolidation foresees that memories are initially recorded in the hippocampus, while features that… 
2017
2017
Artificial neural networks can be trained with relatively low-precision floating-point and fixed-point arithmetic, using between… 
2015
2015
. Waseda participated in the TRECVID 2015 Semantic Indexing (SIN) task [6]. For the SIN task, our approach used the following… 
2015
2015
Mobile applications running on wearable devices and smartphones can greatly benefit from accurate and scalable deep CNN-based… 
2015
2015
Existing machine learning models are often trained as N-way classifiers to distinguish between classes. Loss is computed without… 
2014
2014
This paper constitutes an extension to the report on DISA MU team participation in the ImageCLEF 2014 Scalable Concept Image…