YoloV8 improvement strategy: SPD-Conv is added to YoloV8, allowing small targets to have nowhere to hide - コードワールド

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

開発 2023-09-29 20:50:47 訪問数: null

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転載: blog.csdn.net/m0_47867638/article/details/132528482

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

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

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

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

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

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

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

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

Raising point artifact: SPD-Conv based on Yolov8, low-resolution images and small objects have obvious rising points

Optimize and improve the YOLOv5 algorithm: add the SPD-Conv module to make small targets have nowhere to hide - (super detailed)

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

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

YOLOV8 improvement: add Wiseiou, effectively increase points

Raising point artifact: SPD-Conv based on Yolov8, low-resolution images and small objects have obvious rising points

What improvements does YOLOv8 have over the previous generation?

YoloV8 improvement strategy: NWD new paradigm of small target detection, helping YoloV5 and V8 to violently increase their points on small targets

Реализовать обучение пользовательским данным на основе YOLOv8 — обнаружение дефектов печатных плат

Подробное объяснение кода сегментации YOLOv8 (1) Прогноз

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

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

YOLOv8 の改善

Yolov8 loss function improvement: Wasserstein Distance Loss, helping small targets to increase points

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

YOLOv8の説明

#YOLOv8テスト(1)

yolov8 training experience is continuously updated

YOLOv5、YOLOv8 の改善-BIFPN

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

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