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What is Global Convolutional Network for Segmentation about?

The document presents a Global Convolutional Network (GCN) designed to improve semantic segmentation by addressing the challenges of classification and localization simultaneously. The GCN utilizes large kernels to enhance feature connections while incorporating a boundary refinement block for better object boundary alignment. The proposed method achieves state-of-the-art performance on the PASCAL VOC 2012 and Cityscapes datasets, outperforming previous models.

Author

15835431945

Language

EN