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Semantic Segmentation On Zju Rgb P

Metrics

Frame (fps)
mIoU

Results

Performance results of various models on this benchmark

Paper Title
RoadFormer+ (ConvNeXt-L, RGB-AoLP)-93.0RoadFormer+: Delivering RGB-X Scene Parsing through Scale-Aware Information Decoupling and Advanced Heterogeneous Feature Fusion
RoadFormer+ (ConvNeXt-B, RGB-AoLP)-92.9RoadFormer+: Delivering RGB-X Scene Parsing through Scale-Aware Information Decoupling and Advanced Heterogeneous Feature Fusion
ShareCMP (B4 RGB-FP)-92.7ShareCMP: Polarization-Aware RGB-P Semantic Segmentation
CMX (B4 RGB-AoLP)-92.6CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
ShareCMP (B2 RGB-FP)-92.4ShareCMP: Polarization-Aware RGB-P Semantic Segmentation
CMX (B2 RGB-DoLP)-92.2CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
CSFNet-275 (3090)91.40CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving Scenes
CSFNet-1108.590.85CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving Scenes
SegFormer-B2 (RGB)-89.6SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
EAFNet (RGB-AoLP)-85.7Polarization-driven Semantic Segmentation via Efficient Attention-bridged Fusion
EAFNet (RGB-DoLP)-85.4Polarization-driven Semantic Segmentation via Efficient Attention-bridged Fusion
EAFNet (3Path)-83.4Polarization-driven Semantic Segmentation via Efficient Attention-bridged Fusion
SwiftNet (RGB)-80.3In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images
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