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Semantic Segmentation on SUN-RGBD 37 classes (test)

50.6mIoUPSD
8.37619.33830.341.262Nov 20, 2016Sep 28, 2017Aug 6, 2018Jun 14, 2019Apr 21, 2020Feb 27, 2021Jan 5, 2022

Evaluation results

MethodLinks
PSDCategory=multi-task encoder-decoder, Data=RGB, Backbone=ResNet-50, Scale=single-scale inference2022.0150.68457.3
PAPCategory=multi-task encoder-decoder, Data=RGB, Backbone=ResNet-50, Scale=single-scale inference2022.0150.583.858.4
TRLCategory=multi-task encoder-decoder, Data=RGB, Backbone=ResNet-50, Scale=single-scale inference2022.0149.683.658.2
ADSDCategory=encoder-decoder, Data=RGBD, Backbone=ResNet-50, Scale=single-scale inference2022.0149.681.862.1
SA-GateCategory=encoder-decoder, Data=RGBD, Backbone=ResNet-101, Scale=multi-scale inference2022.0149.4——
CANetCategory=encoder-decoder, Data=RGBD, Backbone=ResNet-101, Scale=single-scale inference2022.0149.382.560.5
ESANetCategory=encoder-decoder, Data=RGBD, Backbone=ResNet-50, Scale=single-scale inference2022.0148.3——
ACNetCategory=encoder-decoder, Data=RGBD, Backbone=ResNet-50, Scale=single-scale inference2022.0148.1—60.3
RedNetCategory=encoder-decoder, Data=RGBD, Backbone=ResNet-50, Scale=single-scale inference2022.0147.881.360.3
RDFNet-152Category=encoder-decoder, Data=RGB, Backbone=ResNet-152, Scale=multi-scale inference2022.0147.781.560.1
SGNetCategory=encoder-decoder, Data=RGBD, Backbone=ResNet-101, Scale=single-scale inference2022.0147.18159.6
RefineNetCategory=atrous/dilated convolution, Data=RGB, Backbone=ResNet-152, Scale=multi-scale inference2022.014781.157.7
RefineNetTrain data=RGB, Backbone=ResNet-1522016.1145.980.658.5
RefineNetTrain data=RGB, Backbone=ResNet-1012016.1145.780.457.8
PU-LoopCategory=multi-task encoder-decoder, Data=RGB, Backbone=ResNet-50, Scale=single-scale inference2022.0145.180.3—
CFNCategory=atrous/dilated convolution, Data=RGBD, Backbone=VGG-16, Scale=multi-scale inference2022.0142.5——
ContextTrain data=RGB2016.1142.378.453.4
3DGNNCategory=atrous/dilated convolution, Data=RGBD, Backbone=VGG-16, Scale=multi-scale inference2022.0142.3—54.6
D-CNNCategory=atrous/dilated convolution, Data=RGBD, Backbone=VGG-16, Scale=single-scale inference2022.0142—53.5
FuseNetCategory=encoder-decoder, Data=RGBD, Backbone=VGG-16, Scale=single-scale inference2022.0137.376.348.3
Ren et al.Train data=RGB-D2016.1136.3——
DeepLab-LFOVCategory=atrous/dilated convolution, Data=RGBD, Backbone=VGG-16, Scale=multi-scale inference2022.0132.171.942.2
SegNetCategory=encoder-decoder, Data=RGB, Backbone=VGG-16, Scale=single-scale inference2022.0131.872.644.8
Kendall et al.Train data=RGB2016.1130.771.245.9
B-SegNetCategory=encoder-decoder, Data=RGB, Backbone=VGG-16, Scale=single-scale inference2022.0130.771.245.9
FCNCategory=encoder-decoder, Data=RGBD, Backbone=VGG-16, Scale=single-scale inference2022.0127.468.238.4
DeconvNetCategory=encoder-decoder, Data=RGB, Backbone=VGG-16, Scale=single-scale inference2022.0122.666.132.3
Liu et al.Train data=RGB-D2016.1110——
LSD-GFCategory=encoder-decoder, Data=RGBD, Backbone=VGG-16, Scale=single-scale inference2022.01——58