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ID: humanattentionmaps
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A negative case analysis of visual grounding methods for VQA
AbstractExisting Visual Question Answering (VQA) methods tend to exploit dataset biases and spurious statistical correlations, instead of producing right answers for the right reasons. To address this issue, recent bias …...
Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words?
AbstractMotivated by human attention, computational attention mechanisms have been designed to help neural networks adjust their focus on specific parts of the input data. While attention mechanisms are claimed to …...