Semantic-Preserving Augmentation for Robust Image-Text Retrieval
Author:
Affiliation:
1. Seoul National University,Department of Electrical and Computer Engineering,Seoul,Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096661.pdf?arnumber=10096661
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
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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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