A central multimodal fusion framework for outdoor scene image segmentation
Integrity signals
Registry
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
CMFnet, using a VGG16 backbone, achieves an mIoU of 58.97 on the Cityscapes dataset for 2.5D semantic segmentation.
“| CMFnet [109] | VGG16 [15] | 58.97 |”
From Multimodal semantic segmentation in autonomous driving: A review of current approaches and future perspectives (2022) · cites this paper as [109]
The citation lists haven’t been fetched yet
References 42 · Cited by 5
- Authors
- Zhang, Y., Morel, O., Seulin, R., Mériaudeau, F., & Sidibé, D.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Zhang, Yifei
- Venue
- Multimedia Tools and Applications
- Published
- 2021-02-17
- Volume
- 81
- Issue
- 9
- Pages
- 12047-12060
- ISSN
- 1380-7501 (ISSN-L)
- 1573-7721
- OpenAlex
- W3132397187
- Cited by
- 5
- References
- 42
- Citations by year
- 2023: 2 · 2022: 2 · 2021: 1
- FWCI
- 1.84
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Multimedia Tools and Applications (publishedVersion)
- HAL (submittedVersion)
- Funders
- Agence Nationale de la Recherche (ANR-17-CE22-0011)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Physical Sciences › Engineering › Media Technology › Advanced Image Fusion Techniques
- Keywords
- multimodal fusion, semantic segmentation, road scene understanding, RGB-D camera, multispectral camera, model uncertainty, outdoor scenes
About these checks
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.
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