ELKPPNet combines a balanced encoder-decoder, large kernel spatial pyramid pooling for multi-scale fusion, and an edge-aware loss to claim superior semantic segmentation performance on Cityscapes, CamVid, and NYUDv2 versus prior methods.
It can be seen that gridding effect produces checkboard-like patterns, while the proposed LKPP effectively eliminate such an effect
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ELKPPNet: An Edge-aware Neural Network with Large Kernel Pyramid Pooling for Learning Discriminative Features in Semantic Segmentation
ELKPPNet combines a balanced encoder-decoder, large kernel spatial pyramid pooling for multi-scale fusion, and an edge-aware loss to claim superior semantic segmentation performance on Cityscapes, CamVid, and NYUDv2 versus prior methods.