When Multitask Learning Meets Partial Supervision: A Computer Vision Review-Reference-Cited by-同舟云学术

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When Multitask Learning Meets Partial Supervision: A Computer Vision Review

Published:2024-06 Issue:6 Volume:112 Page:516-543
ISSN:0018-9219
Container-title:Proceedings of the IEEE
language:
Short-container-title:Proc. IEEE

Author:

Fontana Maxime¹^ORCID,Spratling Michael¹^ORCID,Shi Miaojing²^ORCID

Affiliation:

1. Department of Informatics, King’s College London, London, U.K.

2. College of Electronic and Information Engineering and Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, China

Funder

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/5/10654605/10628096.pdf?arnumber=10628096

Reference232 articles.

1. Efficient adaptive ensembling for image classification;Bruno;arXiv:2206.07394,2022

2. Very deep convolutional networks for large-scale image recognition;Simonyan

3. Densely connected convolutional networks;Huang

4. EfficientNet: Rethinking model scaling for convolutional neural networks;Tan

5. InternImage: Exploring large-scale vision foundation models with deformable convolutions;Wang;arXiv:2211.05778,2022

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