HyperAIHyperAI
HomeConsoleDocsNewsPapersTutorialsDatasetsWikiSOTALLM ModelsGPU LeaderboardEvents
Search
About
HyperAIHyperAI

Command Palette

Search for a command to run...

Semantic Segmentation On Coco Stuff Test

Metrics

mIoU

Results

Performance results of various models on this benchmark

Paper TitleRepository
VPNeXt53.7VPNeXt -- Rethinking Dense Decoding for Plain Vision Transformer-
EVA53.4%EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
RSSeg-ViT-L (BEiT pretrain)52.6%Representation Separation for Semantic Segmentation with Vision Transformers-
RSSeg-ViT-L52.0%Representation Separation for Semantic Segmentation with Vision Transformers-
SegViT (ours)50.3%SegViT: Semantic Segmentation with Plain Vision Transformers
SenFormer (Swin-L)50.1%Efficient Self-Ensemble for 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
CAA (ResNet-101)41.2%Channelized Axial Attention for Semantic Segmentation -- Considering Channel Relation within Spatial Attention for Semantic Segmentation
DRAN(ResNet-101)41.2%Scene Segmentation with Dual Relation-aware Attention Network-
OCR (HRNetV2-W48)40.5%Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation
EMANet39.9%Expectation-Maximization Attention Networks for Semantic Segmentation
DANet (ResNet-101)39.7%Dual Attention Network for Scene Segmentation
SVCNet (ResNet-101)39.6%Semantic Correlation Promoted Shape-Variant Context for Segmentation
OCR (ResNet-101)39.5%Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation
Asymmetric ALNN37.2%Asymmetric Non-local Neural Networks for Semantic Segmentation
CCL (ResNet-101)35.7%Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation-
RefineNet (ResNet-101)33.6%RefineNet: Multi-Path Refinement Networks for High-Resolution 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
0 of 20 row(s) selected.