TRACL: Temporal reconstruction and adaptive consistency loss for semi‐supervised video semantic segmentation
Abstract While existing supervised semantic segmentation methods have shown significant performance improvements, they heavily rely on large‐scale pixel‐level annotated data. To reduce this dependence, recent research has proposed semi‐supervised learning‐based methods that have achieved great succe...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2024-02-01
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Series: | IET Image Processing |
Subjects: | |
Online Access: | https://doi.org/10.1049/ipr2.12952 |