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.
Many researches have focused on enhancing the robustness to scale variance by view field enlargement and effective multi -level feature fusion
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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.