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Learning to Generalize to New Compositions in Image Understanding
G. Chechik
The Gonda Multidisciplinary Brain Research Center
Research output
:
Working paper / Preprint
›
Working paper
Overview
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Dive into the research topics of 'Learning to Generalize to New Compositions in Image Understanding'. Together they form a unique fingerprint.
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Computer Science
Structured Representation
100%
Image Understanding
100%
Long Short-Term Memory Network
50%
Prediction Model
25%
Recurrent Neural Network
25%
Structured Model
25%
Image Captioning
25%
Training Data
25%
Learning Approach
25%
Recurrent Network
25%
Linguistics
25%
Keyphrases
MS COCO Dataset
25%