Practical improvement of YoloV5: using MPDIoU to improve YoloV5 - Code World

Practical improvement of YoloV5: using MPDIoU to improve YoloV5

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Origin blog.csdn.net/m0_47867638/article/details/133105672

Practical improvement of YoloV5: using MPDIoU to improve YoloV5

Practical improvement of YoloV5: using MPDIoU to improve YoloV5

Practical case of image segmentation using YOLOv5

YOLOv5 Improvement Series (17)——Replacing MPDIoU of IoU (ELSEVIER 2023|Beyond WIoU, EIoU, etc.|Measured increase point)

Reproduce the latest MPDIoU improvement of YOLOv5: effective and accurate bounding box regression loss, defeating G/E/CIoU, the effect is obvious! ! !

YOLOv5 improvement: Introduce DenseNet idea to create dense connection module, completely improve target detection performance

YOLOV5 improvement: Add RCS-OSA module to improve detection speed

[YOLOv7/YOLOv5 series improvement NO.53] Integrating the ECVBlock module in the CFPNet network to improve the detection ability of small targets

YOLOV5 improvements: replaced by MPDIOU to achieve effective gains

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.85] Use TransformerDecoderHead in RT-DETR to improve yolov5

YOLOv5 is evaluated using pycocotools

Image classification using yolov5

Introduction of Yolov5 small target performance improvement solution

[YOLOv7/YOLOv5 series algorithm improvement NO.7] Loss function improvement

YOLOV5/YOLOV7/YOLOV8 Improvement Column

YOLOv5 pruning✂️| Model pruning practical articles

Gain point artifact: small target performance improvement based on Yolov5/Yolov7

YOLOv7 algorithm reconstruction: personal self-improvement, as simple as YOLOv5, only 31 layers

Yolov5/Yolov7 improvement --- attention mechanism: ShuffleAttention, ECA, EffectiveSE, SE

Real-time mask detection using YOLOv5

YOLOv5 deployment to C++ for Windows (using LibTorch)

Training YOLOv5 on VisDrone2019 (using ultralytics)

Yolov5 implements target detection system (using thread pool)

Deploy yolov5 service using Triton Pipelines

Cat 12 classification: using yolov5 to train detection model

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

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

Improving YOLOv5/YOLOv8: Reproduction combined with plug-and-play | Efficient multi-scale attention (EMA), the module becomes a small helper for YOLOv5 improvement

Optimize and improve the YOLOv5 algorithm by adding the DCNv3 module to effectively improve the target detection effect

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