He et al., 2024 - Google Patents
LMFE-RDD: a road damage detector with a lightweight multi-feature extraction networkHe et al., 2024
- Document ID
- 16676468371187662705
- Author
- He Q
- Li Z
- Yang W
- Publication year
- Publication venue
- Multimedia Systems
External Links
Snippet
Road damage detection using computer vision and deep learning to automatically identify all kinds of road damage is an efficient application in object detection, which can significantly improve the efficiency of road maintenance planning and repair work and …
- 238000000605 extraction 0 title abstract description 20
Classifications
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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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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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
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