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Robin Chan and Svenja Uhlemeyer acknowledge funding by the German Federal Ministry for Economic Affairs and Energy, within the projects "KI Absicherung", grant no. 19A19005R, and "KI Delta Learning", grant no. 19A19013Q, respectively. We thank the consortiums for the successful cooperation. We would also like to thank the "BUW-KI" team who substantially contributed to collecting and labeling of data.
validation labels, validation + test images, and sources for the Obstacle track of segmentmeifyoucan.com
autonomous driving, anomaly detection, semantic segmentation
autonomous driving, anomaly detection, semantic segmentation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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