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...
| Auteurs principaux: | , , , |
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| Format: | Conference item |
| Langue: | English |
| Publié: |
IEEE
2022
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