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  8. People also ask
    What is Yolo Lite?
    Xiv preprint arXiv:1901.03353, 2019. Joseph Redmon and Ali Farhadi. Yolov3: An incremental improvement. ar Xiv preprint arXiv:1804.02767, 2018. Rachel H ang, Jonathan Pedoeem, and Cuixian Chen. Yolo-lite: a real-time object detection a gorithm optimized for non-gpu computers. In 2018 IEEE International Conference o Big Data (

    y arXiv:2005.13243v2 [cs.CV] 29 May 2020

    arxiv.org
    What are the evaluation results for yolov3 & mixed Yolo Lite for shipdata?
    Evaluation results for YOLOv3 and Mixed YOLOv3-LITE for ShipData. 4.2.4. Performance Tests Based on Embedded Platform Mixed YOLOv3-LITE was tested with a Jetson AGX Xavier device; the results are shown in Table 10. When inputting an image with a size of 224 × 224, it reached 43 FPS.

    Mixed YOLOv3-LITE: A Lightweight Real-Time Object Detection Method

    ncbi.nlm.nih.gov
    How fast is Yolo-lite compared to Yolo V3?
    As seen from the experimental results, YOLO-LITE achieved 102 FPS (non-GPU) in the experimental environment with a high speed. However, its mAP was only 33.77%. The mAP of YOLOv3 was 55.81%, but its speed was only approximately 11 FPS (non-GPU), which is lower than that of YOLO-LITE.

    Mixed YOLOv3-LITE: A Lightweight Real-Time Object Detection Method

    ncbi.nlm.nih.gov
    How accurate is yolov3?
    At the 320×320 resolution, YOLOv3 achieves 28.2 mAP runs at 45 FPS on the Titan X GPU and is as accurate as Single-Shot Detector (SSD321) but 3x faster (shown in Figure 11). Figure 11: Quantitative Benchmark showing accuracy (COCO mAP) vs. inference time (ms) (source: Redmon and Farhadi, 2018, p. 1).

    Introduction to the YOLO Family - PyImageSearch

    pyimagesearch.com
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  14. arXiv.org
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  16. National Center for Biotechnology Information
    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180807

    Mixed YOLOv3-LITE: A Lightweight Real-Time Object Detection …

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