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Semantic Segmentation On Potsdam

Metrics

mIoU

Results

Performance results of various models on this benchmark

Paper TitleCode
LMFNet-386.39LMFNet: An Efficient Multimodal Fusion Approach for Semantic Segmentation in High-Resolution Remote Sensing
CMX85.97CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
LMFNet-285.51LMFNet: An Efficient Multimodal Fusion Approach for Semantic Segmentation in High-Resolution Remote Sensing
UnetFormer85.18UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery
SegFormer-B284.65SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
SegFormer-B184.37SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
V-FuseNet84.36Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks
SA-Gate84.28Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation
SegFormer-B083.67SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
FPN82.99Feature Pyramid Networks for Object Detection
PSPNet82.98Pyramid Scene Parsing Network
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Semantic Segmentation On Potsdam | SOTA | HyperAI超神经