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Found 2 papers, 2 papers with code
Image interpretation by iterative bottom-up top-down processing
Scene understanding requires the extraction and representation of scene components together with their properties and inter-relations.
VQA with no questions-answers training
Methods for teaching machines to answer visual questions have made significant progress in recent years, but current methods still lack important human capabilities, including integrating new visual classes and concepts in a modular manner, providing explanations for the answers and handling new domains without explicit examples.
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