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Oct 4, 2018To be specific, the MLPB utilizes local perception mechanism, which transforms the bilinear pooling between two high-dimensional raw features�...
Jun 6, 2016We extensively evaluate MCB on the visual question answering and grounding tasks. We consistently show the benefit of MCB over ablations without MCB.
Missing: Local Perception
To be specific, the MLPB utilizes local perception mechanism, which transforms the bilinear pooling between two high-dimensional raw features into multiple low-�...
Oct 29, 2018ABSTRACT Visual question answering is a challenging multimodal task, which has received increasing attention in recent years.
This work extensively evaluates Multimodal Compact Bilinear pooling (MCB) on the visual question answering and grounding tasks and consistently shows the�...
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Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding. In Proceedings of the 2016 Conference on Empirical Methods in Natural�...
Missing: Local Perception
In this paper, we propose a novel question segregation framework for visual question answering to optimize the VQA problem where the VQA framework is segregated�...
This study explores innovative methods for improving Visual Question Answering (VQA) using Generative Adversarial Networks (GANs), autoencoders, and attention�...
Multimodal attentional networks are currently state-of- the-art models for Visual Question Answering (VQA) tasks involving real images.
May 30, 2023Multi-modal interaction refers to the integration of information from various senses, thus making it easy for people to communicate with the�...