YoloV8 improvement strategy: FastVit and YoloV8 are perfectly integrated, and the YoloV8 network is reconstructed with heavy parameters (first release on the entire network) - Code World

YoloV8 improvement strategy: FastVit and YoloV8 are perfectly integrated, and the YoloV8 network is reconstructed with heavy parameters (first release on the entire network)

Enterprise 2023-09-29 20:35:30 views: null

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Origin blog.csdn.net/m0_47867638/article/details/132699661

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

YoloV8 improvement strategy: Diverse Branch Block improves YoloV8 and continues to fight against wolves on the heavy parameter structure.

YoloV8 improvement strategy: RepViT improves YoloV8, lightweight Block helps YoloV8 achieve better mobility

YoloV8 improvement strategy: Based on hierarchical attention FasterViT, let YoloV8 achieve a leap in performance

YoloV8 improvement strategy: lightweight Slim Neck creates the ultimate YoloV8

[Lightweight] Practical improvement of YOLOv8 | Replacing the backbone network Backbone's Ghostnet

[Lightweight] Practical improvement of YOLOv8 | Replacing the backbone network Backbone with GhostnetV2

Practical improvement of YOLOv8 | Replacement of the backbone network Backbone (6) Lightweight model VanillaNet advanced chapter

YoloV8 improvement strategy: SPD-Conv is added to YoloV8, allowing small targets to have nowhere to hide

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

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

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

In-depth discussion of YOLOv8 network architecture

Mine electronic seal yolov8 network model

Improve YOLOv8 | Backbone Network | YOLOv8 replaces the SwinTransformer of the backbone network | "Hierarchical Visual Transformer Based on Displacement Window"

Improve YOLOv8 | Backbone Network | YOLOv8 replaces MobileNetV3 of the backbone network | "Search for MobileNetV3"

Improve YOLOv8 | Backbone Network | YOLOv8 replaces GhostNet of the backbone network | Get more features from cheap operations

Practical improvement of YOLOv8 | Replacing the backbone network Backbone with the 2023 latest model LSKNet, rotating target detection SOTA

Chinese explanation of training parameters in YOLOv8

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!

YoloV8 improvement strategy: CoordConv adds coordinates to the convolution, making it spatially aware.

YoloV8 improvement strategy: Shape-IoU, considering the measurement of border shape and scale

YoloV8 improvement strategy: Intel parameter-oriented efficient dynamic convolution KernelWarehouse, YoloV8’s top-notch package

YoloV8 improvement strategy: deformable large-core attention D-LKA, YoloV8’s super-large sauce latte

YOLOv8 algorithm improvement [NO.87] Introducing the Light-weight Context Guided improvement C2_f of the Context Guided Network (CGNet)

Improve YOLOv8 | Backbone Network | YOLOv8 Replaces FasterNet of Backbone Network | "Ran, Don't Walk: Fast Neural Network for Higher FLOPS"

Improve YOLOv8 | Backbone Network | YOLOv8 replaces PP-LCNet of the backbone network | "PP-LCNet: A Lightweight CPU Convolutional Neural Network"

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

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