Evolving Into a Transformer : From a Training-Free Retrieval-Based Method for Anomaly Obstacle Segmentation
As a key problem of auto-vehicle applications, the goal of Anomaly Obstacle Segmentation (AOS) is to detect some strange and unexpected obstacles (possibly are unseen previously) on the drivable area, thereby equipping the semantic perceptual model to be tolerant of unknown things. Due to its practi...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 14., Seite 6195-6209
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| Auteur principal: |
Fu, Yongjian
(Auteur) |
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| Autres auteurs: |
Gao, Dingli,
Liu, Ting,
Zheng, Hang,
Hao, Dayang,
Pan, Zhijie |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2023
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article |
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