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

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

Enterprise 2023-05-17 05:57:14 views: null

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Origin blog.csdn.net/weixin_43694096/article/details/130651136

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

Yolov8 target detection

[Target detection] YOLOv8 learning record

Target detection - YOLOv8 (fourteen)

YOLOv8 target detection and image cropping

100 practical application cases of target detection YOLO - small target detection based on improved YOLOv8 (continued)

EfficientDet: Scalable and Efficient Object Detection Paper Notes

[Target detection] Introduction to YOLOV8 combat (5) Model prediction

[Target detection] YOLOV8 practical entry (3) model training

Get started quickly with YOLOv8 target detection!

YOLOv8 amélioré | Fusion de fonctionnalités | Structure BiFPN de l'application YOLOv8 | "EfficientDet : détection de cible évolutive et efficace"

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

[YoloV8 target detection and instance segmentation - target detection onnx model inference]

YOLOv5, YOLOv8 improvements-BIFPN

Paper's EfficientDet: Translation and Interpretation of "Scalable and Efficient Object Detection—Scalable and Efficient Object Detection"—Sequel

Read the paper in mind EfficientDet: Scalable and Efficient Object Detection

[Paper reading notes] EfficientDet: Scalable and Efficient Object Detection

YOLOV8 builds a target detection system from scratch (a must-read for modifying the model structure) and comes with an industrial defect detection data set

Python+Yolov8 target recognition feature detection

Improve YOLOv8 | Backbone Network | YOLOv8 Replaces ShuffleNetv2 of the Backbone Network | "ShuffleNet v2: A Practical Guide to Efficient Convolutional Neural Network Architecture Design"

Yolov8 optimization: introduce Soft-NMS to improve the detection accuracy of densely occluded scenes

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

Road defect target detection system based on YOLOV8 model (PyTorch+Pyside6+YOLOv8 model)

Marine biological target detection system based on YOLOv8 model (PyTorch+Pyside6+YOLOv8 model)

Deep-sea fish target detection system based on YOLOv8 model (PyTorch+Pyside6+YOLOv8 model)

Maritime ship target detection system based on YOLOV8 model (PyTorch+Pyside6+YOLOv8 model)

Autonomous driving target detection system based on YOLOv8 model and BDD data set (PyTorch+Pyside6+YOLOv8 model)

Face target detection system based on YOLOv8 and WiderFace data sets (PyTorch+Pyside6+YOLOv8 model)

Cigarette butt target detection system based on YOLOv8 model (PyTorch+Pyside6+YOLOv8 model)

80 types of animal target detection system based on YOLOv8 model (PyTorch+Pyside6+YOLOv8 model)

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