This is an FPN network that adds deformable convolutional DCNv3 and CARAFE upsampling operators on the basis of yolov5 model, and the average detection accuracy on the open-source dataset SSD reaches 91.89%, and the recall rate reaches 92.47%
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This is an FPN network that adds deformable convolutional DCNv3 and CARAFE upsampling operators on the basis of yolov5 model, and the average detection accuracy on the open-source dataset SSD reaches 91.89%, and the recall rate reaches 92.47%
Maple1024/Deformer-FPN
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This is an FPN network that adds deformable convolutional DCNv3 and CARAFE upsampling operators on the basis of yolov5 model, and the average detection accuracy on the open-source dataset SSD reaches 91.89%, and the recall rate reaches 92.47%
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