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2001.03712
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MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding

MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020

11 January 2020

ArXiv (abs)PDF HTML

Papers citing "MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding"

4 / 4 papers shown

Think Parallax: Solving Multi-Hop Problems via Multi-View Knowledge-Graph-Based Retrieval-Augmented Generation

Think Parallax: Solving Multi-Hop Problems via Multi-View Knowledge-Graph-Based Retrieval-Augmented Generation

Jiale Bai

Shaoning Zeng

185

0

0

17 Oct 2025

Object Affordance Recognition and Grounding via Multi-scale Cross-modal Representation Learning

Object Affordance Recognition and Grounding via Multi-scale Cross-modal Representation Learning

192

1

0

02 Aug 2025

Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening

Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening

Min Zhang

247

4

0

14 Mar 2023

Paying More Attention to Self-attention: Improving Pre-trained Language
Models via Attention Guiding

Paying More Attention to Self-attention: Improving Pre-trained Language Models via Attention Guiding

Sudipta Singha Roy

154

10

0

06 Apr 2022

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