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Fine-grained Image-text Matching by Cross-modal Hard Aligning Network

  • Published:2023-06 Issue: Volume: Page:
  • ISSN:
  • Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • language:
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Author:

Pan Zhengxin1,Wu Fangyu2,Zhang Bailing3

Affiliation:

1. Zhejiang University

2. Xian Jiaotong-liverpool University

3. NingboTech University

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference46 articles.

1. Structured multimodal feature embedding and alignment for image-sentence retrieval;ge;ACMMM,0

2. Attention is all you need;vaswani;NeurIPS,0

3. De-vise: A deep visual-semantic embedding model;frome;NeurIPS,0

4. Visual word ambiguity;van gemert;PAMI,2009

5. Deep Residual Learning for Image Recognition

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1. Cross-modality interaction reasoning for enhancing vision-language pre-training in image-text retrieval;Applied Intelligence;2024-09-11

2. Multi-level Symmetric Semantic Alignment Network for image–text matching;Neurocomputing;2024-09

3. UGNCL: Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal Matching;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

4. 3SHNet: Boosting image–sentence retrieval via visual semantic–spatial self-highlighting;Information Processing & Management;2024-07

5. Improving Image-Text Matching With Bidirectional Consistency of Cross-Modal Alignment;IEEE Transactions on Circuits and Systems for Video Technology;2024-07
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