YOLOv5 improvement series (11) - add loss function EIoU, AlphaIoU, SIoU, WIoU - Code World

YOLOv5 improvement series (11) - add loss function EIoU, AlphaIoU, SIoU, WIoU

Enterprise 2023-06-24 19:47:43 views: null

【YOLOv5 Improvement Series】Preliminary review:

YOLOv5 Improvement Series (0) - Evaluation and Analysis of Important Performance Indicators and Training Results

YOLOv5 improvement series (1) - adding SE attention mechanism

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Origin blog.csdn.net/weixin_43334693/article/details/131350224

YOLOv5 improvement series (11) - add loss function EIoU, AlphaIoU, SIoU, WIoU

Target detection algorithm improvement series adds EIOU, SIOU, AlphaIOU, FocalEIOU, etc.

YOLOv5 improvements | Loss functions | More than 20 loss functions such as EIoU, SIoU, WIoU, DIoU, FocusIoU, etc.

Improve YOLOv8 | Loss function articles | YOLOv8 replaces the most complete summary version of SIoU / EIoU / WIoU / Focal_xIoU of loss function

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

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

Small knowledge points series (twenty-three) This article (20,000 words) | Interpretation of intersection and union | IoU | GIoU | DIoU | CIoU | EIoU | WIOU | SIOU| αIOU |

The latest loss function SIOU--adapted to YOLOv5 version 6.0 code implementation, it can indeed be increased after testing

Target detection algorithm improvement series adds EIOU, SIOU, AlphaIOU, FocalEIOU, etc.

Target detection algorithm improvement series adds EIOU, SIOU, AlphaIOU, FocalEIOU, etc.

Target detection algorithm improvement series adds EIOU, SIOU, AlphaIOU, FocalEIOU, etc.

SIoU loss

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

YOLOv5 improvement series (13) - replace the activation function of SiLU, ReLU, ELU, Hardswish, Mish, Softplus, AconC series, etc.

YOLOv5 Improvement Series (20) - Add BiFormer Attention Mechanism (CVPR2023|Small Goal Increase Point Artifact)

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.67] Add attention mechanism MHSA

yolo adds Inner-IoU, which can be solved in one article (Inner-SIoU, Inner-WIoU, Inner-EIoU, Inner-MPDIoU)

Yolov8 loss function improvement: Wasserstein Distance Loss, helping small targets to increase points

YOLOV7 improvement: replace WIOU to achieve lossless gains

Target detection regression loss function IOU, GIOU, DIOU, CIOU, EIOU, Focal EIOU, alpha IOU loss function analysis

EIoU和Focal-EIoU Loss

YOLOv5 Improvement Series (17)——Substituindo MPDIoU de IoU (ELSEVIER 2023|Beyond WIoU, EIoU, etc.|Ponto de aumento medido)

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

Target detection--Detailed explanation of the principle of border regression loss function SIoU and code implementation

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

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

The relationship between loss function and regularization is covered in one place. What is the use of adding regularization to the loss function? How to add it? Here is a detailed explanation with easy-to-understand examples! (Series 1)

[Target detection algorithm] IOU, GIOU, DIOU, CIOU and YOLOv5 loss function

yolov7 improvement series

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

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