Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration-Reference-Cited by-同舟云学术

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Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration

Published:2024 Issue: Volume:33 Page:4811-4823
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Chen Tianshui¹^ORCID,Wang Weihang¹^ORCID,Pu Tao²^ORCID,Qin Jinghui¹^ORCID,Yang Zhijing¹^ORCID,Liu Jie³,Lin Liang²^ORCID

Affiliation:

1. School of Information Engineering, Guangdong University of Technology, Guangzhou, China

2. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

3. School of Information Science, North China University of Technology, Beijing, China

Funder

National Science and Technology Major Project

National Natural Science Foundation of China

Guangzhou Basic and Applied Basic Research Foundation

Science and Technology Projects in Guangzhou

Guangdong Provincial Key Laboratory of Intellectual Property and Big Data

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/83/10346232/10663362.pdf?arnumber=10663362

Reference54 articles.

1. Deep Residual Learning for Image Recognition

2. An image is worth 16×16 words: Transformers for image recognition at scale;Dosovitskiy

3. Calibrating deep neural networks using focal loss;Mukhoti

4. On calibration of modern neural networks;Guo

5. Prediction Calibration for Generalized Few-Shot Semantic Segmentation

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