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Nov 23, 2021 · The YOLOv4-tiny detector is transplanted to the field of robotics in the electronics industry instead of the traditional method, thus providing a technical reference for the …
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ABSTRACT. instance segmentation called Poly-YOLO. Poly-YOLO builds on the original ideas of YOLOv3 and removes two of its weaknesses: a large amount of rewritten labels.
OPEN. Improved YOLOv4‐tiny network for real‐time electronic component detection. Ce Guo, Xiao‐ling Lv*, Yan Zhang & Ming‐lu Zhang. In the electronics industry environment, rapid …
Sep 18, 2022 · Quantum frequency conversion (QFC) photonic chips, which enable quantum state preservation during frequency tuning, are crucial in quantum technology. In this work, we …
Qengineering/YoloV4-ncnn-Jetson-Nano - GitHub
Apr 4, 2021 · YoloV4 with the ncnn framework. Paper: https://arxiv.org/pdf/2004.10934.pdf. Special made for a Jetson Nano see Q-engineering deep learning examples.
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Improved YOLOv4-tiny network for real-time electronic …
Nov 23, 2021 · Compared with other current mainstream algorithms, such as Faster RCNN, SSD, RefineDet, EfficientDet, and YOLOv4, the method can maintain high detection accuracy at the …
What’s new in YOLOv4? - Towards Data Science
May 19, 2020 · What is YOLO? YOLO is short for You Only Look Once. It is a real-time object recognition system that can recognize multiple objects in a single frame. YOLO recognizes …
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ultralytics/ultralytics: NEW - YOLOv8 in PyTorch - GitHub
Ultralytics YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost …
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Missouri governor’s trade missions focus on state’s biggest industries. Missouri Gov. Mike Parson traveled overseas Monday for a five-day trade mission in the United Kingdom and Belgium, …
ultralytics/yolov5: YOLOv5 in PyTorch > ONNX - GitHub
We trained YOLOv5-cls classification models on ImageNet for 90 epochs using a 4xA100 instance, and we trained ResNet and EfficientNet models alongside with the same default …
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