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

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

Enterprise 2023-05-17 07:18:27 views: null

NoSuchKey

Guess you like

Origin blog.csdn.net/guorui_java/article/details/130570466

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

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

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

The basic idea of Yolov5 target detection

YOLOv8’s latest improvement series: Optimize CIoU to Wise-IoU to help improve detection performance and effectively improve small target detection accuracy! ! ! Far ahead! ! ! ! !

Introduction of Yolov5 small target performance improvement solution

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.69] Improvement of small targets in remote sensing image target detection CATnet (ContextAggregation module)

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

How to improve the performance of small target detection

YOLOV7 improvement: Add RCS-OSA module to improve detection speed

YOLOV8 improvement: Add RCS-OSA module to improve detection speed

yolov5 target detection

Yolov5/Yolov7 optimization: introduce Soft-NMS to improve the detection accuracy of densely occluded scenes

Optimize and improve YOLOv5 algorithm for small target detection optimization YOLOv5_Face2 (super detailed)

[Target detection] YOLOV5 detailed explanation

Installation of target detection yolov5

YOLOV5 target detection record

Analysis of YOLOv5 algorithm for target detection

YoloV8 improvement strategy: NWD new paradigm of small target detection, helping YoloV5 and V8 to violently increase their points on small targets

Use yolov5 for target detection and crop the detected target

Practical improvement of YoloV5: using MPDIoU to improve YoloV5

Target detection (OD) - Performance

Target detection algorithm improvement series embedding dynamic snake convolution module DySnakeConv

yolov5 online detection target detection webpage real-time recognition python target detection flask

yolov5 python flask web target detection

[Target Detection] YOLOv5: Modify your own network structure

Yolov5 ported Raspberry Pi to achieve target detection

The loss weight of target detection YOLOv5, and the relationship with image size

Analysis of Yolov5 target detection algorithm: model structure

Recommended

Ranking

How can test a Spring Boot controller method annoted with @PreAuthorized(hasAnyAuthority(...))

The concept of front-end pure function and side effect, and the detailed explanation of its embodiment in react

Use of DockerMaven plugin

Load balancing, high availability, and expansion of the access layer

Git, TortoiseGit detailed tutorial

PostGIS (2): PostGreSQL database space expansion module installation

Nginx study notes (seven) - Nginx configuration page to achieve Gzip compression, picture compression

Myeclipse2018 download and installation tutorial myeclipse2018 download and installation tutorial

Set up ssh to log in to the Linux server and use ssh on git

Java コーディング上の注意事項のまとめ

Daily

More

2025-03-27(0)

2025-03-26(0)

2025-03-25(0)

2025-03-24(0)

2025-03-23(0)

2025-03-22(0)

2025-03-21(0)

2025-03-20(0)

2025-03-19(0)

2025-03-18(0)