Lu et al., 2022 - Google Patents
MFNet: Multi-feature fusion network for real-time semantic segmentation in road scenesLu et al., 2022
- Document ID
- 10434901086870005091
- Author
- Lu M
- Chen Z
- Liu C
- Ma S
- Cai L
- Qin H
- Publication year
- Publication venue
- IEEE Transactions on Intelligent Transportation Systems
External Links
Snippet
Although high-accuracy networks have been applied to semantic segmentation at present, their inference speeds remain slow. A trade-off between accuracy and speed is demanded for real-time applications. To approach this problem, we propose Multi-Feature Fusion …
- 230000011218 segmentation 0 title abstract description 57
Classifications
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- G06F17/30799—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content
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- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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