Non-target feature filtering for weakly supervised semantic segmentation

Abstract Weakly supervised semantic segmentation (WSSS) utilizes weak labels to learn semantic segmentation models, significantly reducing reliance on pixel-level annotations. WSSS typically employs a multi-label classification network to extract image features for constructing localization maps. Th...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Xuesheng Zhou, Yan Li, Guitao Cao, Wenming Cao
Format:	Artigo
Sprog:	Inglês
Udgivet:	Springer 2024-12-01
Serier:	Complex & Intelligent Systems
Fag:	Semantic segmentation Weak supervision Localization map Class activation mapping Classification
Online adgang:	https://doi.org/10.1007/s40747-024-01678-8
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!