Semantic Segmentation On Dada Seg

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

		Paper Title
MMUDA	46.97	Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning
Trans4Trans	39.20	Trans4Trans: Efficient Transformer for Transparent Object and Semantic Scene Segmentation in Real-World Navigation Assistance
EDCNet	32.04	Exploring Event-driven Dynamic Context for Accident Scene Segmentation
SETR (PUP, Transformer-Large)	31.8	Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
SETR (MLA, Transformer-Large)	30.4	Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
ISSAFE	29.97	ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based Data
BDL	29.66	Bidirectional Learning for Domain Adaptation of Semantic Segmentation
CLAN	28.76	Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
HRNet (ACDC)	27.5	Deep High-Resolution Representation Learning for Visual Recognition
SegFormer (MiT-B3)	27.0	SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
SIM	26.85	Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
DeepLabV3+ (ACDC)	26.8	Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Fast-SCNN	26.32	Fast-SCNN: Fast Semantic Segmentation Network
Lawin Transformer	25.16	Lawin Transformer: Improving Semantic Segmentation Transformer with Multi-Scale Representations via Large Window Attention
FDA	24.45	FDA: Fourier Domain Adaptation for Semantic Segmentation
ResNet-101	23.60	Deep Residual Learning for Image Recognition
DANet	22.24	Dual Attention Network for Scene Segmentation
SegFormer (MiT-B2)	21.2	SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
SwiftNet (ResNet-18)	20.5	In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images
PSPNet (ResNet-101)	20.1	Pyramid Scene Parsing Network

0 of 28 row(s) selected.