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  2. (PDF) YOLOv4: Optimal Speed and Accuracy of …

    WEBApr 22, 2020 · Comparison of the proposed YOLOv4 and other state-of-the-art object detectors. YOLOv4 runs twice faster than EfficientDet with …

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    • YOLOv4: Optimal Speed and Accuracy of Object …

      WEBApr 23, 2020 · TLDR. This work uses new features: WRC, CSP, CmBN, SAT, Mish activation, Mosaic data augmentation, C mBN, DropBlock regularization, and CIoU loss, and combine some of them to achieve …

    • Title: YOLOv4: Optimal Speed and Accuracy of Object Detection

    • YOLOv4: Optimal Speed and Accuracy of Object Detection

    • YOLOv4: Optimal Speed and Accuracy of Object …

      WEBWe use new features: WRC, CSP, CmBN, SAT, Mish activation, Mosaic data augmentation, CmBN, DropBlock regularization, and CIoU loss, and combine some of them to achieve state-of-the-art results: 43.5% AP …

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    • YOLOv4: Optimal Speed and Accuracy of Object …

      WEBThe aim of this paper is to improve the newly released, YOLOv4 detector, specifically, for vehicle tracking applications using some existing methods such as optimising anchor box predictions by using k-means clustering.

    • PP-YOLO: An Effective and Efficient Implementation of Object …

    • PP-YOLO Surpasses YOLOv4 - State of the Art Object Detection …

    • [PDF] PP-YOLO: An Effective and Efficient Implementation of …

    • (PDF) PP-YOLO: An Effective and Efficient Implementation

    • (PDF) Scaled-YOLOv4: Scaling Cross Stage Partial Network

    • arXiv.org e-Print archive

    • [PDF] PP-YOLOE: An evolved version of YOLO - Semantic Scholar

    • PP-YOLO: An Effective and Efficient Implementation of Object …

    • Brain tumor detection and segmentation using deep learning