YOLOV8 improvement: add Wiseiou, effectively increase points - コードワールド

YOLOV8 improvement: add Wiseiou, effectively increase points

開発 2023-07-22 20:06:16 訪問数: null

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転載: blog.csdn.net/m0_51530640/article/details/131594736

YOLOV8 improvement: add Wiseiou, effectively increase points

YOLOV8 improvement: CVPR 2023 | Add EMA attention mechanism in different positions of C2f module, effectively increase points

YOLOV8 improvement: add the RepGhostBottleneck module in the C2f module, effectively increasing 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

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

YOLOV5 improvement: CVPR 2023 | Add EMA attention mechanism in different positions of C3 block, effectively increase points

YOLOv8 improves the effective point increase series->Teach you step-by-step to add dynamic snake convolution (Dynamic Snake Convolution)

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

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

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

YOLOv5 improvement series (18) - replace Neck's AFPN (new progressive feature pyramid | beyond PAFPN | measured increase point)

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

Code implementation and improvement points of Bungennerf (city nerf)

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

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

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

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

Подробное объяснение кода сегментации YOLOv8 (1) Прогноз

YOLOv8 の改善

YOLOv8の説明

#YOLOv8テスト(1)

yolov8 training experience is continuously updated

YOLOV8 improvement: Add RCS-OSA module to improve detection speed

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