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Found 3 papers, 1 papers with code
Are "Hierarchical" Visual Representations Hierarchical?
In this work, we set out to investigate if hierarchical visual representations truly capture the human perceived hierarchy better than standard learned representations.
Generative Visual Question Answering
The current models lack temporal generalization which enables models to adapt to changes in future data.
Model-Agnostic Graph Regularization for Few-Shot Learning
In this paper, we present a comprehensive empirical study on graph embedded few-shot learning.
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