DRConv dynamic region-aware convolution based on Yolov5/Yolov7, plug and play, with significant growth! - Code World

DRConv dynamic region-aware convolution based on Yolov5/Yolov7, plug and play, with significant growth!

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DRConv dynamic region-aware convolution based on Yolov5/Yolov7, plug and play, with significant growth!

DRConv dynamic region-aware convolution based on Yolov5/Yolov7, plug and play, with significant growth!

DRConv dynamic region-aware convolution based on Yolov5/Yolov7, plug and play, with significant growth!

DRConv dynamic region-aware convolution based on Yolov5/Yolov7, plug and play, with significant growth!

DRConv dynamic region-aware convolution based on Yolov5/Yolov7, plug and play, with significant growth!

DRConv dynamic region-aware convolution based on Yolov5/Yolov7, plug and play, with significant growth!

DRConv dynamic region-aware convolution based on Yolov5/Yolov7, plug and play, with significant growth!

Améliorations YOLOv5 : CVPR 2023 | SCConv : Convolution Plug-and-Play pour la reconstruction spatiale et des canaux

Expériences pratiques améliorées YOLOv5/YOLOv8 : nouvelle technologie originale de convolution sous-pixel *** de suréchantillonnage optimisée pour améliorer l'effet de détection de cible (plug and play)

YOLOv5, v7-Verbesserung 28: ICLR 2022 Rising-Point-Artefakt – dynamische Plug-and-Play-Faltung ODConv

Практическая реализация промышленного обнаружения дефектов малых целей на основе Yolov8 (2): Dynamic Snake Convolution (Dynamic Snake Convolution), достижение огромных успехов | ICCV2023

Amélioration de YOLOv5/YOLOv8 : reproduction combinée avec plug-and-play | Attention multi-échelle efficace (EMA), le module devient une petite aide pour l'amélioration de YOLOv5

Yolov5/Yolov7 improvement --- attention mechanism: SimAM (no parameter Attention) and NAM (based on standardized attention module), the effect spikes CBAM, SE

YOLOv7-Verbesserung: CVPR 2023 | SCConv: Plug-and-Play-Faltung für die räumliche und Kanalrekonstruktion

YOLOV8-Verbesserung: CVPR 2023 | SCConv: Plug-and-Play-Faltung zur räumlichen und Kanalrekonstruktion

Улучшение YoloV5/YoloV7 --- механизм внимания: введение GCNet, GENet, эффект лучше, чем у SENet

Improved YOLOv8 | Plug and Play | Full-Dimensional Dynamic Convolution | "OMNI-DIMENSIONAL DYNAMIC CONVOLUTION"

Yolov5/Yolov7 improvement --- attention mechanism: ShuffleAttention, ECA, EffectiveSE, SE

Comparaison des tests de modèle et conclusion de YOLOv5 YOLOv7 YOLOv8

convolution?

Pure code dry goods - Python vehicle detection and counting based on YOLOv5

[Target detection] Road pothole detection based on yolov5 (with code and data set)

YOLOv5, v7 improvement twenty-eight: ICLR 2022 rising point artifact - plug-and-play dynamic convolution ODConv

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

Qt-Ersteller ruft DLL Dynamic Link Library auf (testen Sie einfaches yolov5 zur Zielerkennung)

Introduction à l'utilisation de YOLOv8 et comparaison des performances de YOLOv7, YOLOv6, YOLOv5

改进YOLOv5/YOLOv7 | 加入---上下文信息CAM模块，微小目标涨点明显

Amélioration de Yolov5/Yolov7 --- mécanisme d'attention : DoubleAttention, SKAttention, version avancée SENet

Интеллектуальная система мониторинга пыли на строительной площадке yolov7

Обнаружение цели YOLOv7 - параметры обучения 1 - введение в параметры командной строки

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