Cross-Loss Pseudo Labeling for Semi-Supervised Segmentation

Training semantic segmentation models requires pixel-level annotations, leading to a significant labeling cost in dataset creation. To alleviate this issue, recent research has focused on semi-supervised learning, which utilizes only a small amount of annotation. In this context, pseudo labeling tec...

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Bibliografske podrobnosti

Principais autores:	Seungyeol Lee, Taeho Kim, Jae-Pil Heo
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2023-01-01
Serija:	IEEE Access
Teme:	Semi-supervised semantic segmentation confirmation bias pseudo-labeling
Online dostop:	https://ieeexplore.ieee.org/document/10239380/
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