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Semantic Segmentation On Densepass

评估指标

mIoU

评测结果

各个模型在此基准测试上的表现结果

模型名称
mIoU
Paper TitleRepository
PVT (Tiny, FPN)31.20%Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
SwiftNet (Merge3)32.04%ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based Data
CLAN31.46%Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
ERFNet16.65%ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic Segmentation
Seamless (Mapillary)34.14%Seamless Scene Segmentation
Trans4PASS+ (multi-scale)57.23%Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation
SIM44.58%Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
SegFormer (MiT-B1)38.5%SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
SETR (MLA, Transformer-L)35.6%Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Trans4PASS (single-scale)55.25%Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation
Trans4PASS+ (single-scale)56.45%Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation
DANet (ResNet-101)28.5%Dual Attention Network for Scene Segmentation
Fast-SCNN24.6%Fast-SCNN: Fast Semantic Segmentation Network
ECANet43.02%Capturing Omni-Range Context for Omnidirectional Segmentation
SegFormer (MiT-B2)42.4%SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
USSS (Mapillary)30.87%Universal Semi-Supervised Semantic Segmentation
USSS (IDD)26.98%Universal Semi-Supervised Semantic Segmentation
PCS53.83%Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation
DNL (ResNet-101)32.1%Disentangled Non-Local Neural Networks
ASMLP (MiT-B1)42.05%AS-MLP: An Axial Shifted MLP Architecture for Vision
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