Deep visual-semantic alignments for generating image descriptions

We present a model that generates natural language descriptions of images and their regions. Our approach leverages datasets of images and their sentence descriptions to learn about the inter-modal correspondences between language and visual data. Our alignment model is based on a novel combination...

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Veröffentlicht in:	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) S. 3128 - 3137
Hauptverfasser:	Karpathy, Andrej, Fei-Fei, Li
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2015
Schlagworte:	Alignment Annotations Context modeling Convolutional neural networks Descriptions Grounding Image segmentation Mathematical models Natural languages Pattern recognition Recurrent neural networks Retrieval Sentences Training Vectors Visualization
ISSN:	1063-6919, 1063-6919
Online-Zugang:	Volltext
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