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Semantic Segmentation On Synpass

Metrics

mIoU

Results

Performance results of various models on this benchmark

		Paper Title	Repository
Trans4PASS+	39.16%	Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation
Trans4PASS	38.57%	Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation
SegFomrer	37.24%	SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
PVT	32.68%	Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
DeepLabv3+	29.66%	Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Fast-SCNN	21.30%	Fast-SCNN: Fast Semantic Segmentation Network

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Semantic Segmentation On Synpass | SOTA | HyperAI