Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval-Reference-Cited by-同舟云学术

Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Qin Yang¹,Peng Dezhong²,Peng Xi¹,Wang Xu¹,Hu Peng¹

Affiliation:

1. Sichuan University, Chengdu, China

2. Sichuan University & Chengdu Ruibei Yingte Information Technology Co., Ltd, Chengdu, China

Funder

Chengdu Science and Technology Project

Scu&Zigong Cooperation Project

the National Natural Science Foundation of China

China Postdoctoral Science Foundation

Sichuan Science and Technology Planning Project

Open Research Projects of Zhejiang Lab

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3547922

Reference45 articles.

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3. Devansh Arpit , Stanisaw Jastrzbski , Nicolas Ballas , David Krueger , Emmanuel Bengio , Maxinder S Kanwal , Tegan Maharaj , Asja Fischer , Aaron Courville , Yoshua Bengio , 2017 . A closer look at memorization in deep networks . In International conference on machine learning. PMLR, 233--242 . Devansh Arpit, Stanisaw Jastrzbski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S Kanwal, Tegan Maharaj, Asja Fischer, Aaron Courville, Yoshua Bengio, et al. 2017. A closer look at memorization in deep networks. In International conference on machine learning. PMLR, 233--242.

4. IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval

5. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 . A simple framework for contrastive learning of visual representations . In International conference on machine learning. PMLR, 1597--1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597--1607.

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