Fig. 5

Compare the performance of the PLM-SegFormer framework and the SegFormer baseline on the PLM test set. The SegFormer baseline models were trained by the cropping method with a size of 512 × 768 and the CE loss. The proposed PLM-SegFormer framework combines resizing and cropping methods for pre-processing, combo loss for training, and optimized post-processing methods with SegFormer models