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Semantic Segmentation On Stanford2D3D 1

평가 지표

mAcc
mIoU

평가 결과

이 벤치마크에서 각 모델의 성능 결과

Paper Title
SFSS-MMSI (RGB+HHA)70.6860.6%Single Frame Semantic Segmentation Using Multi-Modal Spherical Images
SFSS-MMSI (RGB+Depth+Normal)69.0359.43%Single Frame Semantic Segmentation Using Multi-Modal Spherical Images
SFSS-MMSI (RGB+Normal)68.7958.24%Single Frame Semantic Segmentation Using Multi-Modal Spherical Images
SGAT4PASS（RGB only, Fold 1）-56.4%SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation
SFSS-MMSI (RGB+Depth)68.5755.49%Single Frame Semantic Segmentation Using Multi-Modal Spherical Images
SGAT4PASS（RGB only, 3 Fold AVG）-55.3%SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation
Trans4PASS+ (Supervised + Small + MS)-54.0%Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation
Trans4PASS (Supervised + Small + MS)-53.0%Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation
SFSS-MMSI (RGB Only)63.9652.87%Single Frame Semantic Segmentation Using Multi-Modal Spherical Images
Trans4PASS+ (UDA + MPA + MS)-52.3%Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation
CBFC65.652.2%Complementary Bi-directional Feature Compression for Indoor 360° Semantic Segmentation with Self-distillation
Trans4PASS (Supervised + Small)-52.1%Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation
HoHoNet (ResNet-101)65.052.0%HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features
Trans4PASS (UDA + MPA + MS)-51.2%Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation
Trans4PASS (UDA + MPA)-50.8%Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation
PanoFormer64.548.9%PanoFormer: Panorama Transformer for Indoor 360 Depth Estimation
Trans4PASS (UDA + Source Only)-48.1%Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation
FreDSNet63.146.1%FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions
Tangent (ResNet-101)65.245.6%Tangent Images for Mitigating Spherical Distortion
SWSCNN-43.4%Spin-Weighted Spherical CNNs
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Semantic Segmentation On Stanford2D3D 1 | SOTA | HyperAI초신경