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

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

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Origin blog.csdn.net/java1314777/article/details/135416852

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

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 improvement strategy: FastVit and YoloV8 are perfectly integrated, and the YoloV8 network is reconstructed with heavy parameters (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 | Main article | ConvNeXtV2 fully convolutional masked autoencoder network

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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 improvement strategy: AAAI 2024 latest axial attention | Plug and play, the first choice for improvement | First launched on the entire network, including data sets and codes, ready to use out of the box!

First release on the entire network! Hongmeng Application Development Learning Roadmap Standard Edition!

Resnet network feature extraction process visualization

VGG network and middle layer feature extraction

Website development: from writing code to the public network access to the entire process (CSDN Essay Contest winners of the first article)

YoloV5 improvement strategy: Frequency domain multi-axis representation learning module | First release on the entire network | Efficient increase points | Detailed code comments

YoloV7 improvement strategy: Frequency domain multi-axis representation learning module | First release on the entire network | High-efficiency increase points | Detailed code comments

Convolutional neural network feature extraction, convolutional neural network processing data

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Practical improvement of YOLOv8 | Replacing the backbone network Backbone (5) Lightweight 2023 latest network VanillaNet, the power of minimalism in deep learning

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Improvements to YOLOv8

The first Yolov8 optimization: Adam should change! Stanford's latest Sophia optimizer, 2 times faster than Adam | Stanford's latest results in May 2023

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

[YOLOV4] (7) Feature extraction network code reproduction (CSPDarknet53+SPP+PANet+Head), complete with Tensorflow code

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