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Transformer Module Networks for Systematic Generalization in Visual Question Answering
(Center for Brains, Minds and Machines (CBMM), 2022-02-03)
Transformer-based models achieve great performance on Visual Question Answering (VQA). How- ever, when we evaluate them on systematic generalization, i.e., handling novel combinations of known concepts, their performance ...
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations
(Center for Brains, Minds and Machines (CBMM), 2022-01-26)
The training data distribution is often biased towards objects in certain orientations and illumination conditions. While humans have a remarkable capability of recognizing objects in out-of-distribution (OoD) orientations ...