Feature detection method for hind leg segmentation of sheep carcass based on multi-scale dual attention U-Net

• A multi-scale dual attention module is designed. • The MDA module is embedded in the hop connection of U-Net network. • Pre and MIoU of MDAU-Net in the training set are 93.76% and 86.94% respectively. • The average offset distance of the cutting point under the tool target was 4.02 mm. • The average segmentation residual rate is 6.28%. Due to the variable size of the sheep carcass and the complex characteristics of the surface tissue of the...