Semantic Segmentation On Gamus

mIoU

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	mIoU	Paper Title	Repository
RTFNet	58.26	RTFNet: RGB-Thermal Fusion Network for Semantic Segmentation of Urban Scenes
VCD	59.70	Variational Context-Deformable ConvNets for Indoor Scene Parsing	-
CMX	75.23	CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
TIMF	76.38	GAMUS: A Geometry-aware Multi-modal Semantic Segmentation Benchmark for Remote Sensing Data
ShapeConv	55.86	ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation
MFNet	52.73	MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes	-

0 of 6 row(s) selected.