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Semantic Segmentation On Event Based

Metrics

mIoU

Results

Performance results of various models on this benchmark

Model Name	mIoU	Paper Title	Repository
U-Net	64.7	U-Net: Convolutional Networks for Biomedical Image Segmentation
Bimodal SegNet	87.05	Bimodal SegNet: Instance Segmentation Fusing Events and RGB Frames for Robotic Grasping
FCN	59.6	Fully Convolutional Networks for Semantic Segmentation
CMX	85.81	CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
DeepLab	71.05	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
SA-Gate	84.08	Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation

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