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Learning to Generalize to New Compositions in Image Understanding
G. Chechik
The Leslie and Susan Gonda Multidisciplinary Brain Research Center
Research output
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Working paper / Preprint
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Working paper
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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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Keyphrases
New Composition
100%
Structured Representation
100%
Image Understanding
100%
Structured Prediction
25%
Prediction Model
25%
Teasing
25%
Learning Approaches
25%
Training Data
25%
Linguistic Structure
25%
Natural Language
25%
Network Applications
25%
Recurrent Neural Network
25%
Image Captioning
25%
Structured Model
25%
COCO Dataset
25%
New Combination
25%
Recurrent Network
25%
Visual Structure
25%
MS COCO
25%
Similar Scenes
25%
Generalization Type
25%
Compositional Model
25%
Deep Network
25%
Unseen
25%
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%
Neuroscience
Recurrent Neural Network
100%
Psychology
Neural Network
100%