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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.
Highly Cited
2019
Highly Cited
2019
Capsule Network is a promising concept in deep learning, yet its true potential is not fully realized thus far, providing sub-par… 
Highly Cited
2018
Highly Cited
2018
In this paper, we propose a multiscale deep feature learning method for high-resolution satellite image scene classification… 
Highly Cited
2017
Highly Cited
2017
We propose a new type of attack for finding adversarial examples for image classifiers. Our method exploits spanners, i.e. deep… 
Highly Cited
2017
Highly Cited
2017
We tackle the task of semantic alignment where the goal is to compute dense semantic correspondence aligning two images depicting… 
2016
2016
We consider the task of learning a classifier for semantic segmentation using weak supervision in the form of image labels… 
Highly Cited
2015
Highly Cited
2015
We propose a novel weakly-supervised semantic segmentation algorithm based on Deep Convolutional Neural Network (DCNN). Contrary… 
Highly Cited
2014
Highly Cited
2014
We present a method for generating object segmentation proposals from groups of superpixels. The goal is to propose accurate… 
Highly Cited
2014
Highly Cited
2014
With the vast expansion of digital contemporary painting collections, automatic theme stylization has grown in demand in both… 
Highly Cited
2011
Highly Cited
2011
We present Local Naive Bayes Nearest Neighbor, an improvement to the NBNN image classification algorithm that increases…