Question-Guided Graph Convolutional Network for Visual Question Answering Based on Object-Difference
Abstract: The diversity of VQA questions bring new challenge for VQA model to predict the answer. Existing models focus on the construction of new attention mechanisms and object recognition, but ...
Recent augmentation-based methods showed that message-passing (MP) neural networks often perform poorly on low-degree nodes, leading to degree biases due to a lack of messages reaching low-degree ...
Abstract: This paper addresses the pressing need for effective k-tips decomposition in dynamic bipartite graphs, a crucial aspect of real-time applications that analyze and mine binary relationship ...
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