Deep spectral methods: a surprisingly strong baseline for unsupervised semantic segmentation and localization

Deep spectral methods: a surprisingly strong baseline for unsupervised semantic segmentation and localization

Unsupervised localization and segmentation are long-standing computer vision challenges that involve decom-posing an image into semantically meaningful segments without any labeled data. These tasks are particularly interesting in an unsupervised setting due to the difficulty and cost of obtaining d...

書目詳細資料
Main Authors:	Melas-Kyriazi, L, Rupprecht, C, Laina, I, Vedaldi, A
格式:	Conference item
語言:	English
出版:	IEEE 2022

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