TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	REMOVE
Image Captioning	COCO	M2 Transformer	CIDEr	131.2	# 1

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Meshed-Memory Transformer for Image Captioning

CVPR 2020 • Marcella Cornia • Matteo Stefanini • Lorenzo Baraldi • Rita Cucchiara

Transformer-based architectures represent the state of the art in sequence modeling tasks like machine translation and language understanding. Their applicability to multi-modal contexts like image captioning, however, is still largely under-explored... (read more)

PDF Abstract CVPR 2020 PDF CVPR 2020 Abstract

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aimagelab/meshed-memory-transformer official

251

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IMAGE CAPTIONING

MACHINE TRANSLATION

TEXT GENERATION

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COCO

Visual Genome

nocaps

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Ranked #1 on Image Captioning on COCO

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TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	RESULT	BENCHMARK
Image Captioning	COCO	M2 Transformer	CIDEr	131.2	# 1		Compare

Methods used in the Paper

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METHOD	TYPE
Residual Connection	Skip Connections
BPE	Subword Segmentation
Dense Connections	Feedforward Networks
Label Smoothing	Regularization
ReLU	Activation Functions
Adam	Stochastic Optimization
Softmax	Output Functions
Dropout	Regularization
Multi-Head Attention	Attention Modules
Layer Normalization	Normalization
Scaled Dot-Product Attention	Attention Mechanisms
Transformer	Transformers

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