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Semantic Segmentation On Coco Stuff Test

Metrics

mIoU

Results

Performance results of various models on this benchmark

Model Name
mIoU
Paper TitleRepository
CAA (ResNet-101)41.2%Channelized Axial Attention for Semantic Segmentation -- Considering Channel Relation within Spatial Attention for Semantic Segmentation-
SenFormer (Swin-L)50.1%Efficient Self-Ensemble for Semantic Segmentation-
DRAN(ResNet-101)41.2%Scene Segmentation with Dual Relation-aware Attention Network
CCL (ResNet-101)35.7%Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation
OCR (ResNet-101)39.5%Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation-
DAG-RNN (VGG-16)31.2%DAG-Recurrent Neural Networks For Scene Labeling-
FCN (VGG-16)22.7%Fully Convolutional Networks for Semantic Segmentation-
OCR (HRNetV2-W48)40.5%Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation-
VPNeXt53.7VPNeXt -- Rethinking Dense Decoding for Plain Vision Transformer-
EVA53.4%EVA: Exploring the Limits of Masked Visual Representation Learning at Scale-
SegViT (ours)50.3%SegViT: Semantic Segmentation with Plain Vision Transformers-
EMANet39.9%Expectation-Maximization Attention Networks for Semantic Segmentation-
RSSeg-ViT-L52.0%Representation Separation for Semantic Segmentation with Vision Transformers-
DANet (ResNet-101)39.7%Dual Attention Network for Scene Segmentation-
SVCNet (ResNet-101)39.6%Semantic Correlation Promoted Shape-Variant Context for Segmentation-
RSSeg-ViT-L (BEiT pretrain)52.6%Representation Separation for Semantic Segmentation with Vision Transformers-
RefineNet (ResNet-101)33.6%RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation-
CAA (Efficientnet-B7)45.4%Channelized Axial Attention for Semantic Segmentation -- Considering Channel Relation within Spatial Attention for Semantic Segmentation-
HRNetV2 + OCR + RMI (PaddleClas pretrained)45.2%Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation-
Asymmetric ALNN37.2%Asymmetric Non-local Neural Networks for Semantic Segmentation-
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Semantic Segmentation On Coco Stuff Test | SOTA | HyperAI