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Semantic Segmentation on Cityscapes

3,290mIoU

NACLIP + ResCLIP

Updated 1mo ago

Evaluation Results

Method
NACLIP + ResCLIP 2024.11	3,290	-	-	-	-	-	-	3,790
ClearCLIP + ResCLIP 2024.11	3,230	-	-	-	-	-	-	3,840
NACLIP 2024.11	3,230	-	-	-	-	-	-	3,530
SCLIP + ResCLIP 2024.11	3,190	-	-	-	-	-	-	3,550
ClearCLIP 2024.11	3,180	-	-	-	-	-	-	3,790
SCLIP 2024.11	3,140	-	-	-	-	-	-	3,390
OpenCLIP 2024.11	510	-	-	-	-	-	-	1,384
Depth Anything V2 2024.06	85.6	-	-	-	-	-	-	-
SegMAN-L 2024.12	84.2	-	-	-	-	-	-	-
Depth Anything V2 2024.06	83.9	-	-	-	-	-	-	-
SegMAN-B 2024.12	83.8	-	-	-	-	-	-	-
OneFormer 2024.06	83.6	-	-	-	-	-	-	-
Swin-L 2023.03	83.3	-	-	-	-	-	-	-
Mask2Former 2024.06	83.3	-	-	-	-	-	-	-
Mask2Former (Swin-L) 2026.01	83.3	-	-	-	-	-	-	-
SparseViT 2023.03	83.2	-	-	-	-	-	-	-
DDP 2024.06	83.2	-	-	-	-	-	-	-
SegMAN-S 2024.12	83.2	-	-	-	-	-	-	-
SegNext-L 2024.12	83.2	-	-	-	-	-	-	-
OneFormer 2024.06	83	-	-	-	-	-	-	-
Depth Anything V2 2024.06	82.9	-	-	-	-	-	-	-
Swin-L (R896) 2023.03	82.8	-	-	-	-	-	-	-
SegNext-B 2024.12	82.6	-	-	-	-	-	-	-
DDP 2024.06	82.5	-	-	-	-	-	-	-
DDP 2024.06	82.4	-	-	-	-	-	-	-
SegFormer 2024.06	82.4	-	-	-	-	-	-	-
VWFormer-B3 2024.12	82.4	-	-	-	-	-	-	-
VWFormer-B5 2024.12	82.4	-	-	-	-	-	-	-
Segformer (MiT-B5) 2026.01	82.4	-	-	-	-	-	-	-
Segmenter 2024.06	82.2	-	-	-	-	-	-	-
VWFormer-B2 2024.12	81.7	-	-	-	-	-	-	-
Segformer-B3 2024.12	81.7	-	-	-	-	-	-	-
Segformer-B5 2024.12	81.7	-	-	-	-	-	-	-
X-Decoder (DaViT-d5) 2026.01	81.7	-	-	-	-	-	-	-
EDAFormer-B 2024.12	81.6	-	-	-	-	-	-	-
DINOv3 2026.03	81.1	-	-	-	-	-	-	-
Segformer-B2 2024.12	81	-	-	-	-	-	-	-
PIDNet-L 2024.02	80.9	-	-	-	-	-	-	-
AutoUniSeg (Ours) 2024.07	80.7	-	-	-	-	-	-	-
UPerNet 2021.03	80.6	-	-	-	-	-	-	-
Panoptic-DeepLab 2021.03	80.6	-	-	-	-	-	-	-
OCRNet 2020.08	80.6	-	-	-	-	-	-	-
Panoptic-DeepLab 2021.03	80.5	-	-	-	-	-	-	-
DNL 2020.08	80.4	-	-	-	-	-	-	-
Mask2Former + FDConv 2025.03	80.4	-	-	-	-	-	-	-
EQ-VMamba-S 2026.03	80.36	-	-	-	-	-	-	-
Panoptic-DeepLab 2021.03	80.3	-	-	-	-	-	-	-
SegMAN-T 2024.12	80.3	-	-	-	-	-	-	-
CGRSeg-B 2024.12	80.2	-	-	-	-	-	-	-
PIDNet-M 2024.02	80.1	-	-	-	-	-	-	-
PEM 2024.02	79.9	-	-	-	-	-	-	-
SePiCo (ProtoCL) 2022.04	79.5	-	-	-	-	-	-	-
SePiCo (ProtoCL) 2022.04	79.5	-	-	-	-	-	-	-
DDRNet-23 2024.02	79.5	-	-	-	-	-	-	-
Multi-SegHead 2024.07	79.5	-	-	-	-	-	-	-
DINOv3 ViT-H+ 2026.03	79.5	-	-	-	-	-	-	-
DeepLabV3+ 2020.08	79.4	-	-	-	-	-	-	-
Mask2Former 2024.02	79.4	-	-	-	-	-	-	-
YOSO 2024.02	79.4	-	-	-	-	-	-	-
Mask2Former 2025.03	79.4	-	-	-	-	-	-	-
DNL 2020.08	79.3	-	-	-	-	-	-	-
VMamba-S 2026.03	79.03	-	-	-	-	-	-	-
DeepLabV3+ 2020.08	79	-	-	-	-	-	-	-
PEM 2024.02	79	-	-	-	-	-	-	-
SePiCo (BankCL) 2022.04	78.9	-	-	-	-	-	-	-
SePiCo (DistCL) 2022.04	78.9	-	-	-	-	-	-	-
SePiCo (BankCL) 2022.04	78.9	-	-	-	-	-	-	-
SePiCo (DistCL) 2022.04	78.9	-	-	-	-	-	-	-
SegNext-T 2024.12	78.9	-	-	-	-	-	-	-
PIDNet-S 2024.02	78.8	-	-	-	-	-	-	-
PSPNet 2018.05	78.7	60.4	-	-	-	-	-	-
EDAFormer-T 2024.12	78.7	-	-	-	-	-	-	-
Sup 2021.10	78.6	-	-	-	-	-	-	-
Moco-v2 2021.10	78.6	-	-	-	-	-	-	-
MaskFormer 2024.02	78.5	-	-	-	-	-	-	-
VMamba-T 2026.03	78.42	-	-	-	-	-	-	-
MSVMamba-M 2026.03	78.4	-	-	-	-	-	-	-
AM-RADIOv2.5 2026.03	78.4	-	-	-	-	-	-	-
MSVMamba-T 2026.03	78.35	-	-	-	-	-	-	-
PEM 2024.02	78.3	-	-	-	-	-	-	-
CGRSeg-T 2024.12	78.3	-	-	-	-	-	-	-
UPerNet 2021.03	78.2	-	-	-	-	-	-	-
EQ-VMamba-T 2026.03	78.01	-	-	-	-	-	-	-
Baseline 2022.04	77.93	-	-	-	-	-	-	-
SimCLR 2021.10	77.8	-	-	-	-	-	-	-
DDRNet-23-S 2024.02	77.8	-	-	-	-	-	-	-
OCRNet 2020.08	77.7	-	-	-	-	-	-	-
Fully Supervised 2026.03	77.6	-	-	-	-	-	-	-
Fully Supervised 2026.03	77.6	-	-	-	-	-	-	-
Fully Supervised 2026.03	77.6	-	-	-	-	-	-	-
VWFormer-B0 2024.12	77.2	-	-	-	-	-	-	-
ConvNeXt-S 2026.03	77.12	-	-	-	-	-	-	-
OCRNet 2020.08	77.1	-	-	-	-	-	-	-
SwAV 2021.10	77	-	-	-	-	-	-	-
SetSim 2021.07	77	-	-	-	-	-	-	-
DenseSiam 2022.03	77	-	-	-	-	-	-	-
STDC2-Seg75 2024.02	77	-	-	-	-	-	-	-
Single dataset 2024.07	77	-	-	-	-	-	-	-
TWIST 2021.10	76.9	-	-	-	-	-	-	-
ReSim 2022.03	76.8	-	-	-	-	-	-	-

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