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

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

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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)

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

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

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

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

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

[target detection] (8) ASPP improves and strengthens the feature extraction module, with the complete code of Tensorflow

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 improves the latest ICCV2023 conference LSKNet: the field of large selective convolution kernel is explored for the first time to help small target detection

OpenCV image feature extraction learning five, HOG feature detection algorithm

OpenCV image feature extraction learning four, SIFT feature detection algorithm

YOLOv5 improvements | 2023 attention | EMAttention attention mechanism (with multiple positions that can be added)

[Target Detection] YOLOv5: Modify your own network structure

The first release of Yolov5/Yolov7 point increase artifact: Huawei Noah 2023's minimalist neural network model VanillaNet---VanillaBlock helps detection and achieves violent point increase

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)

Feature extraction and detection 1-Harris corner detection

YOLOv5 improves RepViT structure: Tsinghua ICCV 2023, original Bottleneck design

Resnet network feature extraction process visualization

VGG network and middle layer feature extraction

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