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...

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Dettagli Bibliografici
Autori principali:	Melas-Kyriazi, L, Rupprecht, C, Laina, I, Vedaldi, A
Natura:	Conference item
Lingua:	English
Pubblicazione:	IEEE 2022

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