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82411 - 82420 von 82453
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Artikel 82411 YOLOv5-S-G-B: a lightweight intelligent detection model for cardboard surface defects
Enthalten in Signal, image and video processing Bd. 18, 27.6.2024, Nr. 10, date:9.2024: 6997-7011
Online Ressource
Artikel 82412 YOLOv5s-FAC: enhanced feature association detector for person-vehicle counting in smart park
Enthalten in Signal, image and video processing Bd. 19, 5.12.2024, Nr. 1, date:1.2025: 1-11
Online Ressource
Artikel 82413 Yolov5s-MSD: a multi-scale ship detector for visible video image
Enthalten in Multimedia systems Bd. 30, 12.1.2024, Nr. 1, date:2.2024: 1-14
Online Ressource
Artikel 82414 YOLOv6+: simple and optimized object detection model for INT8 quantized inference on mobile devices
Enthalten in Signal, image and video processing Bd. 19, 28.5.2025, Nr. 8, date:8.2025: 1-9
Online Ressource
Artikel 82415 YOLOv7-P: a lighter and more effective UAV aerial photography object detection algorithm
Enthalten in Signal, image and video processing Bd. 18, 20.8.2024, Nr. 11, date:11.2024: 8327-8335
Online Ressource
Artikel 82416 YOLOv7_ship algorithm based on feature fusion for small ship detection in optical remote sensing image
Enthalten in Signal, image and video processing Bd. 19, 5.5.2025, Nr. 7, date:7.2025: 1-12
Online Ressource
Artikel 82417 YOLOv8-Based Frameworks for Liver and Tumor Segmentation Task on LiTS
Enthalten in SN Computer Science Bd. 5, 31.7.2024, Nr. 6, date:8.2024: 1-14
Online Ressource
Artikel 82418 YOLOv8-UW: innovative real-time algorithm for underwater object detection
Enthalten in Signal, image and video processing Bd. 19, 12.5.2025, Nr. 7, date:7.2025: 1-15
Online Ressource
Artikel 82419 YOLOv8-WMD: a frequency domain multi-scale feature fusion algorithm for forest fire detection
Enthalten in Signal, image and video processing Bd. 19, 26.6.2025, Nr. 10, date:10.2025: 1-11
Online Ressource
Artikel 82420 YOLOv9t-DM: a lightweight multi-target detection method for walnut shell kernel materials
Enthalten in Signal, image and video processing Bd. 19, 19.5.2025, Nr. 7, date:7.2025: 1-9
Online Ressource


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