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Panoptic Part Segmentation on Cityscapes Panoptic Parts (val)

63.3PartPQ (All Parts)JPPF
54.77256.98659.261.414Apr 10, 2022Jul 18, 2022Oct 26, 2022Feb 3, 2023May 14, 2023Aug 22, 2023Nov 30, 2023

Evaluation results

MethodLinks
JPPFBackbone=EfficientNet-L2, Scale=Multi-Scale2023.1163.3———52.267.2————68.2
PPF++Backbone=ConvNext, Scale=Multi-Scale2023.1163.1———46.469.1————66.5
PPF++Backbone=Swin, Scale=Multi-Scale2023.1162.3———4668.2————65.7
Panoptic-PartFormerBackbone=Swin-base2022.0461.966.665.167.245.668—————
PPFBackbone=Swin, Scale=Multi-Scale2023.1161.9———45.668————65.3
JPPFScale=Multi-Scale, Run time [ms]=2498, Model size [M]=44.192022.1261.8———50.865.781.841.378.599.5—
JPPFBackbone=EfficientNet-B5, Scale=Multi-Scale2023.1161.8———50.865.7————68.2
HRNet-OCR & PolyTransform + BSANetPanoptic seg. method=HRNet-OCR & PolyTransform, Part seg. method=BSANet, Backbone (Panoptic)=HRNetv2-W48, Backbone (Part)=ResNet1012022.0461.466.264.26745.867—————
JPPFBackbone=EfficientNet-L2, Scale=Single-Scale2023.1161.4———49.565.7————67.3
EfficientPS + BSANetPanoptic seg. method=EfficientPS, Part seg. method=BSANet, Backbone (Panoptic)=Efficient Net, Backbone (Part)=ResNet1012022.0460.26564.265.246.165.2—————
BaselineScale=Multi-Scale2022.1260.2———46.165.280.339.776——
BaselineBackbone=EfficientNet / ResNet101, Scale=Multi-Scale2023.1160.2———46.165.2—————
JPPFScale=Single-Scale, Run time [ms]=397, Model size [M]=44.192022.1259.6———47.763.880.537.97799.33—
JPPFBackbone=EfficientNet-B5, Scale=Single-Scale2023.1159.6———47.763.8————66.1
PPF++Backbone=ResNet50, Scale=Multi-Scale2023.1159.2———42.565.1————62.1
BaselineScale=Single-Scale, Status=Reproduced baseline, Run time [ms]=871, Model size [M]=68.82022.1257.7———44.262.579.736.674.598.84—
Baseline*Backbone=EfficientNet-B5, Scale=Single-Scale2023.1157.7———44.262.5—————
Panoptic-PartFormerBackbone=ResNet502022.0457.461.66062.243.962.2—————
PPFBackbone=ResNet50, Scale=Multi-Scale2023.1157.4———43.962.2————60.5
DeepLabv3+ & Mask R-CNN + DeepLabv3+Panoptic seg. method=DeepLabv3+ & Mask R-CNN, Part seg. method=DeepLabv3+, Backbone (Panoptic)=ResNet50, Backbone (Part)=Xception-652022.0456.96158.761.94361.9—————
UPSNet + DeepLabv3+Panoptic seg. method=UPSNet, Part seg. method=DeepLabv3+, Backbone (Panoptic)=ResNet50, Backbone (Part)=ResNet502022.0455.159.157.359.742.359.7—————