Choi et al., 2020 - Google Patents
Eprod: Evolved probabilistic object detector with diverse samplesChoi et al., 2020
- Document ID
- 4477376672742874407
- Author
- Choi J
- Lee S
- Lee S
- Song B
- Publication year
- Publication venue
- Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part VI 16
External Links
Snippet
Even small errors in object detection algorithms can lead to serious accidents in critical fields such as factories and autonomous vehicles. Thus, a so-called probabilistic object detector (PrOD) has been proposed. However, the PrOD still has problems of …
- 238000001514 detection method 0 abstract description 28
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- G06K9/46—Extraction of features or characteristics of the image
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- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30781—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F17/30784—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
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- 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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- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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