Deep Multimodal Learning for Information Retrieval-Reference-Cited by-同舟云学术

Deep Multimodal Learning for Information Retrieval

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
language:
Short-container-title:

Author:

Ji Wei¹^ORCID,Wei Yinwei²^ORCID,Zheng Zhedong¹^ORCID,Fei Hao¹^ORCID,Chua Tat-seng¹^ORCID

Affiliation:

1. National University of Singapore, Singapore, Singapore

2. Monash University, Melboune, Australia

Funder

This workshop and related research were supported by Sea-NExT++ Joint Lab.

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3610949

Reference22 articles.

1. Scalable Deep Hashing for Large-Scale Social Image Retrieval

2. Multi-queue Momentum Contrast for Microvideo-Product Retrieval

3. Wei Ji , Long Chen , Yinwei Wei , Yiming Wu , and Tat-Seng Chua . 2022. MRTNet: Multi-Resolution Temporal Network for Video Sentence Grounding. arXiv preprint arXiv:2212.13163 ( 2022 ). Wei Ji, Long Chen, Yinwei Wei, Yiming Wu, and Tat-Seng Chua. 2022. MRTNet: Multi-Resolution Temporal Network for Video Sentence Grounding. arXiv preprint arXiv:2212.13163 (2022).

4. Human-Centric Clothing Segmentation via Deformable Semantic Locality-Preserving Network

5. VidVRD 2021

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