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...

Bibliografski detalji
Glavni autori:	Melas-Kyriazi, L, Rupprecht, C, Laina, I, Vedaldi, A
Format:	Conference item
Jezik:	English
Izdano:	IEEE 2022

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