YOLOv8 algorithm improvement [NO.87] Introducing the Light-weight Context Guided improvement C2_f of the Context Guided Network (CGNet) - コードワールド

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

開発 2023-12-16 18:26:13 訪問数: null

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

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

Practical improvement of YOLOv8 | Replacement of the backbone network Backbone (3) lightweight model ShuffleNetV2

Yolov8 improvement --- attention mechanism: ShuffleAttention, ECA, EffectiveSE, SE

YOLOV8 improvement: add Wiseiou, effectively increase points

Baseline improvement of YOLOv8 in Mango YOLO column: Create a more convenient version NEW YOLOv8

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

YOLOV8 improvement: CVPR2023: Join the EfficientViT backbone: memory efficient ViT with cascade group attention

Target detection algorithm improvement series embedding Deformable ConvNets v2 (DCNv2)

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.72] attention mechanism Linear Context Transform Block (LCT module)

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context (context, environment)

Algorithm Improvement-Dynamic Programming-Digital DP

QML类型：Context2D

[Dark Horse Programmer Course Record] C++ Improvement Part 12

Improvement of Detection and Segmentation Algorithm (Part 4) BFP (Balanced Feature Pyramid) Module

Target detection algorithm improvement series adds EIOU, SIOU, AlphaIOU, FocalEIOU, etc.

require.context

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go-context详解

go-context实例

Golang之context

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YOLOv7 Improvement: CVPR 2023 | SCConv: Plug-and-Play Convolution for Spatial and Channel Reconstruction

YOLOv5 Improvement | 2023 Attention Chapter | MLCA Hybrid Local Channel Attention (Lightweight Attention Mechanism)

C#-warehousing mode-about the release of the context

[深度学习论文笔记]CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnnシリーズアルゴリズム改善[NO.72] アテンションメカニズム Linear Context Transform Block (LCTモジュール)

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