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LabelMe

LabelMe is a project created by the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) which provides a dataset of digital images… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Small-sample classification is a challenging problem in computer vision and has many applications. In this paper, we propose an… 
2015
2015
Latent subcategory models (LSMs) offer significant improvements over training linear support vector machines (SVMs). Training… 
2014
2014
In this paper we present a novel approach to integrate feature similarity and spatial consistency of local features to achieve… 
2013
2013
Title of dissertation: DOMAIN ADAPTIVE OBJECT RECOGNITION AND DETECTION Fatemeh Mirrashed, Doctor of Philosophy, 2013… 
Review
2012
Review
2012
We consider the problem of image recognition in social media websites. Social-media website's users have been doing image… 
Review
2012
Review
2012
Binary encoding schemes that preserve similarity in large collections of images are required for faster retrieval and effective… 
2011
2011
In this paper we present the Name-It-Game, an interactive multimedia game fostering the swift creation of a large data set of… 
2010
2010
The semantic annotation of images can benefit from representations of useful concepts and the links between them as ontologies… 
2010
2010
To date, automatic recognition of semantic information such as salient objects and mid-level concepts from images is a… 
2009
2009
This paper deals with the semantic enrichment of automatic annotations of images. Since it partially tackles theSemantic Gap…