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Found 2 papers, 2 papers with code
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection
We demonstrate the practical interest of our fusion model by using BLOCK for two challenging tasks: Visual Question Answering (VQA) and Visual Relationship Detection (VRD), where we design end-to-end learnable architectures for representing relevant interactions between modalities.
MUTAN: Multimodal Tucker Fusion for Visual Question Answering
Bilinear models provide an appealing framework for mixing and merging information in Visual Question Answering (VQA) tasks.
Ranked #35 on
Visual Question Answering (VQA)
on VQA v2 test-std
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