Visual Scene Understanding for Autonomous Driving Using Semantic Segmentation
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A methodology for examining how a sequence of pixel intensities influences the CNN's forecasting, called Visual-Back Propagation, is presented in [94].
“A methodology for examining how a sequence of pixel intensities influences the CNN's forecasting, called Visual-Back Propagation is presented in [94].”
From A Review of Trustworthy and Explainable Artificial Intelligence (XAI) (2023) · cites this paper as [94]
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- Authors
- Hofmarcher, M., Unterthiner, T., Arjona-Medina, J., Klambauer, G., Hochreiter, S., & Nessler, B.
- Affiliations
- Johannes Kepler University of Linz (AT)
- Corresponding author
- Hofmarcher, Markus
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2019
- Pages
- 285-296
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2972351704
- Cited by
- 51
- References
- 51
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 10 · 2023: 9 · 2022: 15 · 2021: 4 · 2020: 6 · 2019: 1
- FWCI
- 2.12
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Keywords
- autonomous driving, semantic segmentation, explainable AI, visual perception, interpretability, real-time segmentation, production vehicles
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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