Panoptic Segmentation on Cityscapes (test)
67.1PQEfficientPS
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| EfficientPSPre-training=Vistas2020.04 | 67.1 | — | — | — | 60.9 | 71.6 | 83.4 | 79.6 | |
| Axial-DeepLab-XLExtra Data=MV2020.03 | 66.6 | — | — | — | — | — | — | — | |
| Panoptic-DeeplabPre-training=Vistas2020.04 | 66.5 | — | — | — | 58.8 | 72 | 83.5 | 78.8 | |
| Axial-DeepLab-LExtra Data=MV2020.03 | 65.6 | — | — | — | — | — | — | — | |
| Panoptic-DeepLabExtra Data=MV2019.11 | 65.5 | — | 39 | 84.2 | — | — | — | — | |
| Panoptic-DeepLabExtra Data=MV2020.03 | 65.5 | — | — | — | — | — | — | — | |
| EfficientPSPre-training=None2020.04 | 64.1 | — | — | — | 56.7 | 69.4 | 82.6 | 76.8 | |
| Li et al.Extra Data=COCO2020.03 | 63.3 | — | — | — | — | — | — | — | |
| Axial-DeepLab-XLExtra Data=None2020.03 | 62.8 | — | — | — | — | — | — | — | |
| Axial-DeepLab-LExtra Data=None2020.03 | 62.7 | — | — | — | — | — | — | — | |
| Axial-DLBackbone=Axial-L2021.06 | 62.7 | — | — | — | 53.4 | 69.5 | — | — | |
| SeamlessExtra Data=MV2019.11 | 62.6 | — | — | — | — | — | — | — | |
| SeamlessExtra Data=MV2020.03 | 62.6 | — | — | — | — | — | — | — | |
| SeamlessBackbone=ResNet50, Pretrain.=ImageNet & Vistas, Method Category=Proposal-based2021.06 | 62.6 | — | — | — | — | — | — | — | |
| SeamlessPre-training=Vistas2020.04 | 62.6 | — | — | — | 56 | 67.5 | 82.1 | 75.3 | |
| Panoptic-DeepLabExtra Data=None2019.11 | 62.3 | — | 34.6 | 79.4 | — | — | — | — | |
| Panoptic-DeepLabExtra Data=None2020.03 | 62.3 | — | — | — | — | — | — | — | |
| Panoptic-DeeplabPre-training=None2020.04 | 62.3 | — | — | — | 52.1 | 69.7 | 82.4 | 74.8 | |
| Panoptic-DeepLabBackbone=Xcp-71, Extra Data=None, test-time augmentation=true2022.06 | 62.3 | — | — | — | 52.1 | 69.7 | — | — | |
| + FSFBackbone=R-50, Extra Data=None, adaptive kernel fusion=true, full-scale fine-tuning=true2022.06 | 62 | — | — | — | 55 | 67.1 | — | — | |
| Panoptic-DeepLabBackbone=SWideRNet-(0.25, 0.75, 1), Input Size=1025 × 2049, Speed (ms)=166.83, M-Adds (B)=1199.852020.11 | 61.6 | — | — | — | — | — | — | — | |
| Li et al.Extra Data=None2020.03 | 61 | — | — | — | — | — | — | — | |
| Unify. PSBackbone=R-502021.06 | 61 | — | — | — | 52.7 | 67.1 | — | — | |
| UnifyingBackbone=R-50, Extra Data=None2022.06 | 61 | — | — | — | 52.7 | 67.1 | — | — | |
| Panoptic-DeepLabBackbone=SWideRNet-(0.25, 0.5, 1), Input Size=1025 × 2049, Speed (ms)=108.58, M-Adds (B)=576.832020.11 | 60.8 | — | — | — | — | — | — | — | |
| TASCNetExtra Data=COCO2019.11 | 60.7 | — | — | — | — | — | — | — | |
| TASCNetExtra Data=COCO2020.03 | 60.7 | — | — | — | — | — | — | — | |
| Panoptic-DeepLabBackbone=Xception-71, Input Size=1025 × 2049, Speed (ms)=175, M-Adds (B)=547.492020.11 | 60.7 | — | — | — | — | — | — | — | |
| Panoptic-DLBackbone=X-712021.06 | 60.7 | — | — | — | — | — | — | — | |
| TASCNetPre-training=COCO2020.04 | 60.7 | — | — | — | 53.4 | 66 | 81 | 73.8 | |
| Panoptic-DeepLabBackbone=SWideRNet-(0.25, 0.35, 1), Input Size=1025 × 2049, Speed (ms)=83.25, M-Adds (B)=319.142020.11 | 60 | — | — | — | — | — | — | — | |
| COPS fullBackbone=R-502021.06 | 60 | — | — | — | 51.8 | 65.9 | — | — | |
| HLEBackbone=ResNet101, Pretrain.=ImageNet, Method Category=Proposal-free2021.06 | 59.4 | — | — | — | — | — | — | — | |
| SSAPExtra Data=None2019.11 | 58.9 | — | 32.7 | — | — | — | — | — | |
| SSAPExtra Data=None2020.03 | 58.9 | — | — | — | — | — | — | — | |
| SSAPBackbone=ResNet101, Pretrain.=ImageNet, Method Category=Proposal-free2021.06 | 58.9 | — | — | — | — | — | — | — | |
| SSAPBackbone=R-101, Test-time augmentation=true2021.06 | 58.9 | — | — | — | 48.4 | 66.5 | — | — | |
| SSAPPre-training=None2020.04 | 58.9 | — | — | — | 48.4 | 66.5 | 82.4 | 70.6 | |
| SSAPBackbone=R-101, Extra Data=None, test-time augmentation=true2022.06 | 58.9 | — | — | — | 48.4 | 66.5 | — | — | |
| Panoptic-DeepLabBackbone=SWideRNet-(0.25, 0.35, 0.75), Input Size=1025 × 2049, Speed (ms)=73.14, M-Adds (B)=229.492020.11 | 58.2 | — | — | — | — | — | — | — | |
| Panoptic-DeepLabBackbone=ResNet-50, Input Size=1025 × 2049, Speed (ms)=117, M-Adds (B)=381.392020.11 | 58 | — | — | — | — | — | — | — | |
| Panoptic-DLBackbone=R-502021.06 | 58 | — | — | — | — | — | — | — | |
| HLEBackbone=ResNet50, Pretrain.=ImageNet, Method Category=Proposal-free2021.06 | 57.9 | — | — | — | — | — | — | — | |
| COPS baselineBackbone=R-502021.06 | 56.7 | — | — | — | 46 | 64.5 | — | — | |
| Panoptic-DeepLabBackbone=SWideRNet-(0.25, 0.25, 0.75), Input Size=1025 × 2049, Speed (ms)=63.05, M-Adds (B)=151.972020.11 | 56.6 | — | — | — | — | — | — | — | |
| Dynam. inst.Backbone=ResNet101, Pretrain.=ImageNet, Method Category=Proposal-free2021.06 | 55.4 | — | — | — | — | — | — | — | |
| Panoptic-DeepLabBackbone=MobileNetv3, Input Size=1025 × 2049, Speed (ms)=63, M-Adds (B)=54.172020.11 | 54.1 | — | — | — | — | — | — | — | |
| PolyTransformExtra Data=COCO2020.03 | 40.1 | — | — | — | — | — | — | — | |
| PANetExtra Data=COCO2020.03 | 36.4 | — | — | — | — | — | — | — | |
| UPSNetExtra Data=COCO2020.03 | 33 | — | — | — | — | — | — | — | |
| AdaptISExtra Data=None2020.03 | 32.5 | — | — | — | — | — | — | — | |
| DWTSupervision Level=full2018.08 | — | 19.4 | — | — | — | — | — | — | |
| InstanceCutSupervision Level=full2018.08 | — | 13 | — | — | — | — | — | — | |
| Ours (full)Supervision Level=full, Initialization=ImageNet init.2018.08 | — | 18.8 | — | — | — | — | — | — | |
| Ours (full)Supervision Level=full, Initialization=PSPNet init. [16]2018.08 | — | 23.4 | — | — | — | — | — | — | |
| Ours (weak)Supervision Level=weak, Initialization=ImageNet init.2018.08 | — | 12.8 | — | — | — | — | — | — | |
| Pixel EncodingSupervision Level=full2018.08 | — | 8.9 | — | — | — | — | — | — | |
| RecAttendSupervision Level=full2018.08 | — | 9.5 | — | — | — | — | — | — | |
| SGNSupervision Level=full2018.08 | — | 25 | — | — | — | — | — | — |