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Semantic Segmentation On Ddd17

Metrics

mIoU

Results

Performance results of various models on this benchmark

Model Name
mIoU
Paper TitleRepository
ESS61.37ESS: Learning Event-based Semantic Segmentation from Still Images-
SegFormer-B271.05SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers-
EDCNet-S2D61.99Exploring Event-driven Dynamic Context for Accident Scene Segmentation-
EV-SegNet54.81EV-SegNet: Semantic Segmentation for Event-based Cameras-
CMNeXt72.67Delivering Arbitrary-Modal Semantic Segmentation-
SegNeXt-B71.46SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation-
CMX71.88CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers-
HALSIE60.66HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities-
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