Deep learning object detection as an assistance system for complex image labeling tasks.
| Autor(en): | Leimkühler, Max Gravemeier, Laura Sophie Biester, Tim Thomas, Oliver |
Stichwörter: | Computer vision; Viola–Jones object detection framework; Task (project management); Convolutional neural network; Pattern recognition (psychology); Image (mathematics); Computer science; Deep learning; Cognitive neuroscience of visual object recognition; Contextual image classification; Minimum bounding box; Feature (linguistics); Object detection; Machine learning; Feature extraction; Artificial neural network; Object (grammar); Artificial intelligence | Erscheinungsdatum: | 2021 | Herausgeber: | Hawaii International Conference on System Sciences | Journal: | hawaii international conference on system sciences | Startseite: | 328 | DOI: | https://doi.org/10.24251/hicss.2021.039 | Rechte: | cc-by-nc-nd |
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geprüft am 19.05.2024
