Deep Metric Learning with Adaptively Composite Dynamic Constraints-Reference-Cited by-同舟云学术

Deep Metric Learning with Adaptively Composite Dynamic Constraints

Published:2023 Issue: Volume: Page:1-17
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Zheng Wenzhao¹^ORCID,Lu Jiwen¹^ORCID,Zhou Jie¹^ORCID

Affiliation:

1. State Key Lab of Intelligent Technologies and Systems, Beijing National Research Center for Information Science and Technology (BNRist), and the Department of Automation, Tsinghua University, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/10008092.pdf?arnumber=10008092

Reference108 articles.

1. SoftTriple Loss: Deep Metric Learning Without Triplet Sampling

2. A Simple and Effective Framework for Pairwise Deep Metric Learning

3. PADS: Policy-Adapted Sampling for Visual Similarity Learning

4. MIC: Mining interclass characteristics for improved metric learning;roth;Proc IEEE Int Conf Comput Vis,2019

5. A Metric Learning Reality Check

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