Semantic-Preserving Augmentation for Robust Image-Text Retrieval

Author:

Kim Sunwoo1,Shim Kyuhong1,Nguyen Luong Trung1,Shim Byonghyo1

Affiliation:

1. Seoul National University,Department of Electrical and Computer Engineering,Seoul,Korea

Publisher

IEEE

Reference21 articles.

1. Improved regularization of convolutional neural networks with cutout;devries,2017

2. From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions

3. Text data augmentation for deep learning;shorten;Journal Of Big Data,2021

4. Autoaugment: Learning augmentation policies from data;cubuk,2018

5. In defense of grid features for visual question answering;jiang;Proc ICCV,2019

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Computer Vision-Aided Beamforming for 6G Wireless Communications: Dataset and Training Perspective;ICC 2024 - IEEE International Conference on Communications;2024-06-09

2. MoPE: Mixture of Pooling Experts Framework for Image-Text Retrieval;Lecture Notes in Computer Science;2024

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