TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
Visual Question Answering	COCO Visual Question Answering (VQA) real images 1.0 open ended	DMN+ [xiong2016dynamic]	Percentage correct	60.4	# 8
Visual Question Answering	VQA v1 test-dev	DMN+	Accuracy	60.3	# 6
Visual Question Answering	VQA v1 test-std	DMN+	Accuracy	60.4	# 4

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Dynamic Memory Networks for Visual and Textual Question Answering

4 Mar 2016 • Caiming Xiong • Stephen Merity • Richard Socher

Neural network architectures with memory and attention mechanisms exhibit certain reasoning capabilities required for question answering. One such architecture, the dynamic memory network (DMN), obtained high accuracy on a variety of language tasks... (read more)

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therne/dmn-tensorflow

236

ethancaballero/Improved-Dynamic-Memory-Networks-DMN-plus

165

dandelin/Dynamic-memory-networks-plus-Pytorch

123

DongjunLee/dmn-tensorflow

imatge-upc/vqa-2016-cvprw

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QUESTION ANSWERING

VISUAL QUESTION ANSWERING

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COCO

bAbI

DAQUAR

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Ranked #4 on Visual Question Answering on VQA v1 test-std

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TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	BENCHMARK
Visual Question Answering	COCO Visual Question Answering (VQA) real images 1.0 open ended	DMN+ [xiong2016dynamic]	Percentage correct	60.4	# 8	Compare
Visual Question Answering	VQA v1 test-dev	DMN+	Accuracy	60.3	# 6	Compare
Visual Question Answering	VQA v1 test-std	DMN+	Accuracy	60.4	# 4	Compare

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METHOD	TYPE
Softmax	Output Functions
GRU	Recurrent Neural Networks
Dynamic Memory Network	Working Memory Models
Memory Network	Working Memory Models

Dynamic Memory Networks for Visual and Textual Question Answering

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