YOLOv5 improvements | Main article | CSWinTransformer cross-shaped window network improved feature fusion layer - Code World

YOLOv5 improvements | Main article | CSWinTransformer cross-shaped window network improved feature fusion layer

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YOLOv5 improvements | Main article | CSWinTransformer cross-shaped window network improved feature fusion layer

YOLOv5 improvements | Main article | CSWinTransformer cross-shaped window network improved feature fusion layer

YOLOv5 improvements | Main article | CSWinTransformer cross-shaped window network improved feature fusion layer

YOLOv5 improvements | Main article | CSWinTransformer cross-shaped window network improved feature fusion layer

YOLOv5 improvements | Main article | CSWinTransformer cross-shaped window network improved feature fusion layer

YOLOv5 improvements | Main article | CSWinTransformer cross-shaped window network improved feature fusion layer

YOLOv5 improvements | Main article | CSWinTransformer cross-shaped window network improved feature fusion layer

YOLOv5 improvements | Main article | CSWinTransformer cross-shaped window network improved feature fusion layer

YOLOv5 improvements | 2023 main article | FasterNeT running feature extraction network (improves FPS and detection efficiency)

YOLOv5, v7 Improvement 26: Improved Feature Fusion Network PANet is ASFF Adaptive Feature Fusion Network

YOLOv5 improvements | Main article | ConvNeXtV2 fully convolutional masked autoencoder network

YOLOv8 improvements | Main article | The latest results in December TransNeXt feature extraction network (first release on the entire network)

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

YOLOv5 improvements | 2023 main article | FasterNeT running feature extraction network (improves FPS and detection efficiency)

YOLOv5 improvements | 2023 main article | FasterNeT running feature extraction network (improves FPS and detection efficiency)

YOLOv5 improvements | 2023 main article | FasterNeT running feature extraction network (improves FPS and detection efficiency)

YOLOv5 improvements | 2023 main article | FasterNeT running feature extraction network (improves FPS and detection efficiency)

YOLOv5 improvements | 2023 main article | FasterNeT running feature extraction network (improves FPS and detection efficiency)

YOLOv5 improvements | 2023 main article | FasterNeT running feature extraction network (improves FPS and detection efficiency)

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

YOLOv6 Pro | Use the yaml file format to build a YOLOv6L network structure tutorial step by step (1) - the main network article, you can understand it at a glance, and share it with pure white dry goods (also applicable to the official YOLOv5 improvement)

[Selected] Improved YOLOv5 lane line real-time segmentation system integrating Seg head network

VGG network and middle layer feature extraction

YOLO v5 combines heat maps and visualizations and feature maps of each layer of the network

YOLOv5, YOLOv8 improvements-BIFPN

Improvements of YOLOv5 over YOLOv4

YOLOv5, YOLOv8 improvements: BoTNet Transformer

Metro OD Flow Prediction Based on Adaptive Feature Fusion Network

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.73] Adding asymptotic feature pyramid network (AFPN module)

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

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