TFUT: Task fusion upward transformer model for multi-task learning on dense prediction-Reference-Cited by-同舟云学术

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TFUT: Task fusion upward transformer model for multi-task learning on dense prediction

Published:2024-07 Issue: Volume:244 Page:104014
ISSN:1077-3142
Container-title:Computer Vision and Image Understanding
language:en
Short-container-title:Computer Vision and Image Understanding

Author:

Xin Zewei^ORCID,Sirejiding Shalayiding^ORCID,Lu Yuxiang^ORCID,Ding Yue^ORCID,Wang Chunlin^ORCID,Alsarhan Tamam^ORCID,Lu Hongtao

Funder

Shanghai Municipality Science and Technology Commission

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference46 articles.

1. Xcit: Cross-covariance image transformers;Ali;NeurIPS,2021

2. Survey: Spline based interpolation methods for image magnification;Bhatnagar,2013

3. Exploring relational context for multi-task dense prediction;Brüggemann,2021

4. Multitask learning;Caruana;Mach. Learn.,1997

5. Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks;Chen,2018

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