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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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Computer visionDatabaseDeep learningDeepDream

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Perceptually Motivated Method for Image Inpainting Comparison
The field of automatic image inpainting has progressed rapidly in recent years, but no one has yet proposed a standard method of… 
2018
2018
Handwritten digit recognition system on an FPGA
This paper describes our implementation of a multilayer perceptron (MLP) learning network on a Cyclone IVE field programmable… 
2018
2018
Denoising Dictionary Learning Against Adversarial Perturbations
We propose denoising dictionary learning (DDL), a simple yet effective technique as a protection measure against adversarial… 
Review
2016
Review
2016
th International Conference on Knowledge Based and Intelligent Information and Engineering Systems , KES 2016 , 5-7 September 2016 , York , United Kingdom A knowledge-based image retrieval system…
The main limitations of the existing high level image retrieval approaches concern the high dependance on an external reliable… 
2015
2015
Hybrid Algorithm for the Optimization of Training Convolutional Neural Network
The training optimization processes and efficient fast classification are vital elements in the development of a convolution… 
2015
2015
Waseda @ TRECVID 2015: Semantic Indexing
. Waseda participated in the TRECVID 2015 Semantic Indexing (SIN) task [6]. For the SIN task, our approach used the following… 
2015
2015
An effective use of adaptive combination of visual features to retrieve image semantics from a hierarchical image database
2015
2015
Semantically-driven automatic creation of training sets for object recognition
2014
2014
A distributed approach for large-scale classifier training and image classification
2012
2012
Appendix: Building high-level features using large scale unsupervised learning
In this appendix, we discuss more details regarding the algorithm, its implementation, test set for 3D-transformed faces… 
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