cnn-based object detection (Geunyoung Techville Inc)
90
Structured Review
Geunyoung Techville Inc
cnn-based object detection
Cnn Based Object Detection, supplied by Geunyoung Techville Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cnn-based+object+detection/cnn+based+object+detection/10__1016_slash_j__radphyschem__2025__112681-14-0-14
Average 90 stars, based on 1 article reviews
Cnn Based Object Detection, supplied by Geunyoung Techville Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cnn-based+object+detection/cnn+based+object+detection/10__1016_slash_j__radphyschem__2025__112681-14-0-14
Average 90 stars, based on 1 article reviews
cnn-based object detection - by Bioz Stars,
2026-10
90/100 stars
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Clinical Proteomics:Article Title: Real-time CNN-based object detection of prohibited items for X-ray security screening Article Snippet: In homeland security, X-ray security scanners are essential for detecting contraband, including weapons, drugs, and hazardous materials.. However, detection accuracy might be limited when items overlap or are concealed in complex baggage configurations.. To address this issue, we developed a one-stage convolutional neural network (CNN) object detection model based on the You Only Look Once (YOLO) architecture, which employs a CSPDarknet53 backbone for feature extraction. Transmission Assay:Article Title: Real-time CNN-based object detection of prohibited items for X-ray security screening Article Snippet: In homeland security, X-ray security scanners are essential for detecting contraband, including weapons, drugs, and hazardous materials.. However, detection accuracy might be limited when items overlap or are concealed in complex baggage configurations.. To address this issue, we developed a one-stage convolutional neural network (CNN) object detection model based on the You Only Look Once (YOLO) architecture, which employs a CSPDarknet53 backbone for feature extraction. |