Research on poultry part partitioning techniques is crucial for the advancement of automated poultry partitioning equipment. In this study, a semantic segmentation method for chicken parts, based on a lightweight DeepLabv3+, was introduced to cater to real-time and precise requirements of segmenting varying poultry sizes. Initially, the backbone network was replaced with an improved lightweight MobileNetV2, enhancing the predictive speed and decreasing computational parameters. Subsequently, the SENet was incorporated, enhancing the capacity to discern high-level features and negate irrelevant...
