Xie B et al. designed a multi-scale dual attention module in the UNet model to enhance the ability to capture contextual semantic information and local feature details. Using this method, the segmentation accuracy of sheep hind leg and body images was 93.76%.

Multi-Scale Dual Attention Module for Accurate Sheep Hind Leg and Body Image Segmentation

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