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The YOLOv8n-pose was employed as the foundational keypoint detection model. Through the design of the C2f_DCN module, deformable convolution (DCNV2) was integrated into the C2f module of the Backbone network to enhance the model's adaptability to different horse poses in real-world scenes. ...
Developed Yolov8n-Pose-LBD, a lightweight algorithm for precise small-sized wolfberry recognition.Integrated LSKNet and Dysample networks for efficient identification and localization.Redesigned the C2F-LB network to replace the C2F in the backbone.Demonstrated superior mAP and FPS values for the det...
Picking point detectionSpatial selection mechanismAdaptive point samplingDeep learningDeveloped Yolov8n-Pose-LBD, a lightweight algorithm for precise small-sized wolfberry recognition.Integrated LSKNet and Dysample networks for efficient identification and localization.Redesigned the C2F-LB network to replace...
This paper introduces an enhanced Yolov8n-Pose-LBD keypoint detection algorithm inspired by pose estimation. First, a large selection kernel network (LSKNet) was integrated into the bottleneck module of the four C2F gradient routing modules in the backbone, and the C2F-LB structure was re...