YOLOv5, YOLOv8 improvements-BIFPN - Code World

YOLOv5, YOLOv8 improvements-BIFPN

Enterprise 2023-07-28 18:59:57 views: null

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Origin blog.csdn.net/weixin_45303602/article/details/131941655

YOLOv5, YOLOv8 improvements-BIFPN

YOLOv5, YOLOv8 improvements: BoTNet Transformer

Improvements to YOLOv8

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvements [NO.79] The improved loss function is VariFocal Loss

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvements [NO.83] Change the backbone feature extraction network Backbone to RevCol

Briefly describe the difference between YOLOv8 and YOLOv5

Improvements of YOLOv5 over YOLOv4

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvements [NO.70] NonDeepNe (ParNet module), a lightweight attention mechanism that does not increase network depth

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvements [NO.80] introduce plug-and-play CloFormer: the perfect integration of attention mechanism and convolution

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvements [NO.84] are integrated into the 2023 latest large convolution kernel CNN architecture RepLKNet upgraded version-UniRepLKNet

What improvements does YOLOv8 have over the previous generation?

YOLOv8 use introduction and YOLOv7, YOLOv6, YOLOv5 performance comparison

Improve YOLOv8 | Feature Fusion | YOLOv8 Application BiFPN Structure | "EfficientDet: Scalable and Efficient Target Detection"

YOLOV5/YOLOV7/YOLOV8 Improvement Column

TensorRT study notes -- deployment of YoloV3, YoloV5 and YoloV8 based on TensorRT

Model test comparison and conclusion of YOLOv5 YOLOv7 YOLOv8

YOLOV5 improvements: replaced by MPDIOU to achieve effective gains

YOLOv8 explanation

yolov8 use

Реализовать обучение пользовательским данным на основе YOLOv8 — обнаружение дефектов печатных плат

yolov8 training

YOLOv5, YOLOv8 개선-BIFPN

YOLOv5、YOLOv8改进-BIFPN

YOLOv5、YOLOv8 の改善-BIFPN

yolov3 yolov4 yolov5 yolov6 yolov7 yolov8 yolox Algorithm improvement, algorithm customization, algorithm guidance

Nanny level tutorial - YOLO series (YOLOv5/YOLOv7/YOLOv8) algorithm training data set

[YOLOv7/YOLOv5 series improvement NO.52] Integrating the C2f module in YOLOv8

YOLOv8 latest improvement series: YOLOV8 backbone improvements - Huawei Noah proposes a new backbone architecture VanillaNet. YOLOv8 integrates the power of deep learning minimalism to greatly improve the robustness of the model! !

YOLOV8 improvements: TripletAttention | plug-and-play lightweight attention mechanism

yolov5 deepsort

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