YOLOV8 improvement: CVPR2023: Join the EfficientViT backbone: memory efficient ViT with cascade group attention - コードワールド

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

開発 2023-07-22 20:06:07 訪問数: null

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転載: blog.csdn.net/m0_51530640/article/details/131783759

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

YOLOV5 improvement: CVPR2023: join the EfficientViT backbone: memory access efficient ViT with cascade group attention

【CVPR 2023】EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention

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

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

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

Yolov5/Yolov7 improvement---attention mechanism: ICASSP2023 EMA is based on efficient multi-scale attention of cross-space learning, the effect is better than ECA, CBAM, CA | small target rises significantly

U-ViT (CVPR2023) – die Kombination aus ViT und Difussion Model

YOLOV5/YOLOV8 improvement: CVPR23: join the ConvNeXt V2 backbone, effectively increase points

YOLOV5/YOLOV8 improvement: CVPR23: join the ConvNeXt V2 backbone, effectively increase points

YOLOV5/YOLOV8 improvement: CVPR23: join the ConvNeXt V2 backbone, effectively increase points

YOLOV5/YOLOV8 improvement: CVPR23: join the ConvNeXt V2 backbone, effectively increase points

YOLOV5/YOLOV8 improvement: CVPR23: join the ConvNeXt V2 backbone, effectively increase points

YOLOV5/YOLOV8 improvement: CVPR23: join the ConvNeXt V2 backbone, effectively increase points

CVPR 2023｜EfficientViT: сделать ViT более эффективным для развертывания и реализации рассуждений в реальном времени (с исходным кодом)

CVPR 2023｜EfficientViT: ViT の導入効率を高め、リアルタイム推論を実現 (ソースコード付き)

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

YOLOV8 improvement: add Wiseiou, effectively increase points

Улучшение YOLOV8: CVPR 2023 | SCConv: свертка пространственной и канальной реконструкции Plug-and-Play

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

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

Artifact with rising points: CVPR2023 InceptionNeXt. When Inception meets ConvNeXt, plug and play in Yolov5/Yolov7/Yolov8, small target detection has obvious points.

Yolov5 軽量: CVPR2023｜RIFormer: TokenMixer なしで SOTA パフォーマンスを実現できるミニマリスト ViT アーキテクチャ

Verbesserung von YOLOv8 | Upgrade des Backbone-Netzwerks | YOLOv8-Backbone-Netzwerk ersetzt durch MobileNetV3 | Computer Vision

CVPR 2023｜EfficientViT: Make ViT more efficient to deploy and realize real-time reasoning (with source code)

CVPR2023

【CVPR 2023】EfficientViT : transformateur de vision à mémoire efficace avec attention de groupe en cascade

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

MYSQL INNER JOINとGROUP BY

YOLOv8 に基づく安全ヘルメット検出システム (3): DCNv2 に基づいて最適化された DCNv3 変形可能畳み込み、動作検出を支援 | CVPR2023 InterImage

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