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Semantic Segmentation On Eventscape

Metrics

mIoU

Results

Performance results of various models on this benchmark

Model Name	mIoU	Paper Title	Repository
Fast-SCNN	44.27	Fast-SCNN: Fast Semantic Segmentation Network	-
CMX (B2)	61.90	CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers	-
Trans4Trans	51.86	Trans4Trans: Efficient Transformer for Transparent Object Segmentation to Help Visually Impaired People Navigate in the Real World	-
ISSAFE	43.61	ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based Data	-
CGNet	44.75	CGNet: A Light-weight Context Guided Network for Semantic Segmentation	-
CMX (B4)	64.28	CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers	-
SegFormer-B2	58.69	SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers	-
DeepLabV3+	53.65	Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation	-
SA-Gate	53.94	Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation	-
SwiftNet	36.67	In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images	-
RFNet	41.34	Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images	-
SegFormer-B4	59.86	SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers	-

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