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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.
2018
2018
The present work shows the application of transfer learning for a pre-trained deep neural network (DNN), using a small image… 
2018
2018
In recent years, with the popularization of deep learning frameworks and large datasets, researchers have started parallelizing… 
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… 
2017
2017
With the rapid development of Deep Convolutional Neural Networks (DCNNs), numerous works focus on designing better network… 
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
The managing of large amounts of data in digital ecosystems and in big data environments requires the use of formal models and… 
2014
2014
This paper constitutes an extension to the report on DISA MU team participation in the ImageCLEF 2014 Scalable Concept Image…