Semantic Segmentation On Stanford2D3D 1

المقاييس

mAcc

mIoU

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	mAcc	mIoU	Paper Title	Repository
PanoFormer	64.5	48.9%	PanoFormer: Panorama Transformer for Indoor 360 Depth Estimation
SGAT4PASS（RGB only, Fold 1）	-	56.4%	SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation
Interpolated SelectionConv	-	41.4%	Interpolated SelectionConv for Spherical Images and Surfaces
Trans4PASS (Supervised + Small)	-	52.1%	Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation
SFSS-MMSI (RGB Only)	63.96	52.87%	Single Frame Semantic Segmentation Using Multi-Modal Spherical Images
UGSCNN	54.65	38.3%	Spherical CNNs on Unstructured Grids
SGAT4PASS（RGB only, 3 Fold AVG）	-	55.3%	SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation
Tangent (ResNet-101)	65.2	45.6%	Tangent Images for Mitigating Spherical Distortion
SWSCNN	-	43.4%	Spin-Weighted Spherical CNNs
GaugeNet (R2R-U-Net)	55.9	39.4%	Gauge Equivariant Convolutional Networks and the Icosahedral CNN
SFSS-MMSI (RGB+Normal)	68.79	58.24%	Single Frame Semantic Segmentation Using Multi-Modal Spherical Images
Trans4PASS (Supervised + Small + MS)	-	53.0%	Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation
DisConv	-	34.6%	Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images	-
SFSS-MMSI (RGB+HHA)	70.68	60.6%	Single Frame Semantic Segmentation Using Multi-Modal Spherical Images
SFSS-MMSI (RGB+Depth+Normal)	69.03	59.43%	Single Frame Semantic Segmentation Using Multi-Modal Spherical Images
CBFC	65.6	52.2%	Complementary Bi-directional Feature Compression for Indoor 360° Semantic Segmentation with Self-distillation	-
HoHoNet (ResNet-101)	65.0	52.0%	HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features
Trans4PASS+ (UDA + MPA + MS)	-	52.3%	Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation
SFSS-MMSI (RGB+Depth)	68.57	55.49%	Single Frame Semantic Segmentation Using Multi-Modal Spherical Images
Trans4PASS (UDA + MPA + MS)	-	51.2%	Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation

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