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

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

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Origin blog.csdn.net/m0_47867638/article/details/132633923

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

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

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.69] Improvement of small targets in remote sensing image target detection CATnet (ContextAggregation module)

YoloV8 rising point artifact: CFPNet-ECVBlock's small target detection, plug and play, helping to detect rising points

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

CFPNet based on YoloV5---ECVBlock's small target detection, plug and play, helping to detect rising points

[YOLOv7/YOLOv5 series improvement NO.53] Integrating the ECVBlock module in the CFPNet network to improve the detection ability of small targets

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

100 practical application cases of target detection YOLO - small target detection based on improved YOLOv8 (continued)

Video target detection yolo algorithm small model self-training model comparison (yolov5 yolov7 yolov8)

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

YOLOv8’s latest improvement series: Optimize CIoU to Wise-IoU to help improve detection performance and effectively improve small target detection accuracy! ! ! Far ahead! ! ! ! !

Introduction of Yolov5 small target performance improvement solution

Industrial end-face small target counting detection based on Yolov8 (1)

Improving YOLOv5/YOLOv8: Reproduction combined with plug-and-play | Efficient multi-scale attention (EMA), the module becomes a small helper for YOLOv5 improvement

Yolov8 target detection

Gain point artifact: small target performance improvement based on Yolov5/Yolov7

[Reading notes for target detection papers] Small-object detection based on YOLOv5 in autonomous driving systems

yolov5 detects small targets (with source code)

[Target detection] YOLOv8 learning record

Target detection - YOLOv8 (fourteen)

YOLOv8 target detection and image cropping

YOLOv5 Improvement Series (20) - Add BiFormer Attention Mechanism (CVPR2023|Small Goal Increase Point Artifact)

Optimize and improve YOLOv5 algorithm for small target detection optimization YOLOv5_Face2 (super detailed)

Practical implementation of industrial small target defect detection based on Yolov8 (2): Dynamic Snake Convolution (Dynamic Snake Convolution), achieving violent gains | ICCV2023

[Target detection] Introduction to YOLOV8 combat (5) Model prediction

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

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

YoloV8 improvement strategy: RepViT improves YoloV8, lightweight Block helps YoloV8 achieve better mobility

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