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Object Detection on Foggy Cityscapes (test)

61.1AP (Person)DSBCO
31.77239.3864754.614Dec 10, 2020Nov 13, 2021Oct 17, 2022Sep 20, 2023Aug 23, 2024Jul 27, 2025Jun 30, 2026

Evaluation results

MethodLinks
DSBCOVenue=-, Detector=FCOS2026.0661.166.87358.172.362.258.865.664.7—
MGCAMTVenue=TIP ’25, Detector=RetinaNet2026.0660.266.676.533.260.143.249.857.955.9—
BridgeBackbone=DINOv32026.0458.564.673.248.672.165.451.758.661.6—
BridgeBackbone=ResNet-101, Detector=Diff. Guided2026.0456.561.872.937.155.750.146.257.154.7—
DINOv32026.0456.162.772.645.566.953.148.955.757.7—
BridgeBackbone=DINOv22026.0454.359.470.149.169.358.449.855.158.2—
BridgeBackbone=Stable Diffusion, Detector=Diff. Detector2026.0453.7617238.858.848.144.252.153.6—
ACCTVenue=ICASSP ’24, Detector=Def DETR2026.0653.658.969.431.153.533.742.654.449.6—
BoostBackbone=ResNet-101, Detector=Diff. Guided2026.0452.96268.237.455.348.445.562.754.1—
BridgeBackbone=SAM2026.0452.858.368.332.356.436.543.151.549.9—
MRTVenue=ICCV ’23, Detector=Def DETR2026.0652.851.768.735.958.154.54147.151.2—
BIADTVenue=ICCV ’23, Detector=Def DETR2026.0652.258.969.231.75545.142.651.350.8—
HTEvaluation Protocol=DA2025.0352.155.867.532.755.949.140.150.350.4—
Diff. GuidedEvaluation Protocol=DG, Stable Diffusion Version=SD-1.52025.0352.160.867.532.453.853.945.654.252.5—
GDDBackbone=ResNet-101, Detector=Diff. Guided2026.0452.160.867.532.453.853.945.654.252.5—
HTVenue=CVPR ’23, Detector=FCOS2026.0652.155.867.532.755.949.140.150.350.4—
Diff. GuidedEvaluation Protocol=DG, Stable Diffusion Version=SD-2.12025.0351.959.56734.855.142.243.453.951—
AT + REACTVenue=TIP ’24, Detector=Faster R-CNN2026.0651.457.967.437.758.452.844.654.653.1—
DSTSVenue=Information ’25, Detector=FCOS2026.0651.454.368.437.854.640.242.451.850.1—
BoostBackbone=Stable Diffusion, Detector=Diff. Detector2026.045159.968.136.45339.442.155.450.7—
MTMVenue=AAAI ’24, Detector=Def DETR2026.065153.467.237.254.441.638.447.748.9—
MICEvaluation Protocol=DA2025.0350.955.36733.952.433.740.647.547.6—
Diff. DetectorEvaluation Protocol=DG, Stable Diffusion Version=SD-2.12025.0350.458.26736.455.529.240.449.648.3—
Diff. DetectorEvaluation Protocol=DG, Stable Diffusion Version=SD-1.52025.0350.259.566.73856.239.939.950.450.1—
GDDBackbone=Stable Diffusion, Detector=Diff. Detector2026.0450.259.566.73856.239.939.950.450.1—
DA-DETRVenue=CVPR ’23, Detector=Def DETR2026.0649.95063.12445.837.531.646.343.5—
AQTVenue=IJCAI ’22, Detector=Def DETR2026.0649.352.364.427.753.746.53646.447.1—
SAM2026.0449.254.665.934.25220.841.847.745.8—
AT + DSD-DAVenue=ICML ’24, Detector=Faster R-CNN2026.0649.159.366.235.86047.145.254.952.2—
CMT + DSD-DAVenue=ICML ’24, Detector=Faster R-CNN2026.064959.665.335.76146.543.957.352.3—
O2NetVenue=ACM MM ’22, Detector=Def DETR2026.0648.751.563.631.147.647.83845.946.8—
OADAEvaluation Protocol=DA2025.0347.846.562.932.148.550.934.339.845.4—
OADAVenue=ECCV ’22, Detector=FCOS2026.0647.846.562.932.148.550.934.339.845.4—
MTTransEvaluation Protocol=DA2025.0347.749.965.225.845.933.832.646.543.4—
MTTransVenue=ECCV ’22, Detector=Def DETR2026.0647.749.965.225.845.933.932.643.546.8—
DINOv22026.0447.65565.546.462.156.344.445.352.8—
SIGMA++Evaluation Protocol=DA2025.0346.445.16132.152.244.634.839.944.5—
SIGMA++Venue=TPAMI ’23, Detector=FCOS2026.0646.445.16132.152.244.634.839.944.5—
CIGAREvaluation Protocol=DA2025.0346.147.362.127.856.644.333.741.344.9—
CIGARVenue=CVPR ’23, Detector=FCOS2026.0646.147.362.127.856.644.333.741.344.9—
CMTEvaluation Protocol=DA2025.0345.955.763.739.66638.841.451.250.3—
CMTVenue=CVPR ’23, Detector=Faster R-CNN2026.0645.955.763.739.66638.841.451.250.3—
MILABackbone=VGG-162023.0945.652.864.834.761.454.139.751.550.6—
ATBackbone=VGG-16, Base detection model=Faster R-CNN2021.1145.555.164.23556.354.338.551.950.9—
ATBackbone=VGG-16, copied from origin paper=true2023.0945.555.164.23556.354.338.551.950.9—
ATVenue=CVPR ’22, Detector=Faster R-CNN2026.0645.555.164.23556.354.338.551.950.9—
SSAL2022.0445.147.459.424.55025.72638.739.6—
ATBackbone=VGG-162023.094553.963.633.96045.138.84949—
D_adaptVenue=ICLR ’22, Detector=Faster R-CNN2026.0644.954.261.725.636.324.737.346.141.3—
LSCDIGMVenue=J SUPERCOMPUT ’25, Detector=FCOS2026.0644.743.160.928.948.34836.737.743.5—
SIGMAVenue=CVPR ’22, Detector=FCOS2026.064443.960.331.650.451.531.740.644.2—
KTNetVenue=Neural Networks ’23, Detector=RetinaNet2026.0643.748.956.934.951.855.332.842.845.9—
DAF+NLTELarger training and testing scales=true2022.0443.150.758.733.656.742.733.743.345.4—
MGAEvaluation Protocol=DA2025.0343.147.361.530.253.250.327.936.943.8—
Oracle (F-RCNN)Backbone=VGG-16, Base detection model=Faster R-CNN2021.1143.149.861.328.650.335.132.540.742.7—
OracleBackbone=VGG-162023.0943.149.861.328.650.335.132.540.742.7—
DSS-UDA2022.0442.951.253.633.649.218.936.241.840.9—
EPM2022.0441.938.756.722.641.526.824.635.536—
RGSEVisual Backbone=Swin-B, Framework=Grounding DINO, Bp-free=true2026.0541.5227.2256.7834.0350.3521.6838.1347.34—39.63
RGSEVisual Backbone=Swin-T, Framework=Grounding DINO, Bp-free=true2026.0541.425.750.9628.9940.50.8832.139.1—29.96
BCAVisual Backbone=Swin-T, Framework=Grounding DINO, Bp-free=true2026.0541.015.6147.8521.8633.40.9128.4729.82—26.12
PTVenue=ICML ’22, Detector=Faster R-CNN2026.0640.248.859.730.751.830.635.444.542.7—
TDDVenue=CVPR ’22, Detector=Faster R-CNN2026.0639.647.555.733.847.642.13741.443.1—
BCA+Visual Backbone=Swin-T, Framework=Grounding DINO, Bp-free=true2026.0539.033.6146.9822.2635.260.8729.3735.87—26.65
ViSGA2021.1038.845.957.229.950.251.931.940.943.3—
Source OnlyVenue=-, Detector=FCOS2026.0638.541.84628.642.11131.142.235.1—
DIDN2022.0438.344.451.828.753.334.732.440.440.5—
TDAVisual Backbone=Swin-B, Framework=Grounding DINO, Bp-free=true2026.0538.2925.5350.0930.4945.9211.9833.1239.06—34.31
BCA+Visual Backbone=Swin-B, Framework=Grounding DINO, Bp-free=true2026.0538.1526.352.330.7745.6620.2933.8942.41—36.22
HisTPTVisual Backbone=Swin-B, Framework=Grounding DINO, Bp-free=false2026.0537.9522.465429.9844.1112.537.2742.33—35.07
MeGA-CDABackbone=VGG16, Base Detector=Faster R-CNN2021.0337.74952.425.449.246.934.53941.8—
OracleBackbone=VGG16, Base Detector=Faster R-CNN2021.0337.248.252.735.252.248.535.338.843.5—
DAF+NLTE2022.043746.954.832.149.943.529.939.641.8—
BCAVisual Backbone=Swin-B, Framework=Grounding DINO, Bp-free=true2026.0536.5324.4250.7730.8345.2520.2933.242.49—35.47
Prior DABackbone=VGG16, Base Detector=Faster R-CNN2021.0336.447.351.722.847.634.13638.739.3—
DA-Detectiondefoggy=true2020.123645.554.424.344.125.829.135.936.9—
TDAVisual Backbone=Swin-T, Framework=Grounding DINO, Bp-free=true2026.0535.274.8746.4322.8232.30.3828.6829.86—25.08
GDINOVisual Backbone=Swin-B, Framework=Grounding DINO, Bp-free=true2026.0534.9520.3551.5630.0145.720.8735.2132.06—31.34
AT-Fasterdefoggy=false2020.1234.6475023.743.338.733.438.838.7—
ATFBackbone=VGG16, Base Detector=Faster R-CNN2021.0334.6475023.743.338.733.438.838.7—
AT-FasterBackbone=VGG-16, Pre-trained=ImageNet, Input size=shorter side 600, IoU threshold=0.52023.0134.6475023.743.338.733.438.838.7—
MADEvaluation Protocol=DG2025.0334.247.44525.64442.430.340.138.6—
MAD2026.0434.247.44525.64442.430.340.138.6—
SFOD-Mosaic-Defoggy (Ideal)defoggy=true2020.1234.144.451.930.441.825.730.337.237—
SC-DA2021.1033.842.152.126.842.526.529.234.535.9—
Selective DABackbone=VGG16, Base Detector=Faster R-CNN2021.0333.53848.526.53923.32833.633.8—
SC-DA2022.0433.53848.526.53923.32833.633.8—
SCDABackbone=VGG-16, Base detection model=Faster R-CNN2021.1133.53848.526.53923.32833.633.8—
VDD2022.0433.44451.733.95240.932.336.839.8—
RPNPA2022.0433.345.650.530.443.64229.736.839—
SFOD-Mosaic (SED)defoggy=false2020.1233.240.744.525.53922.228.434.133.5—
SFOD-Mosaic (Ideal)defoggy=false2020.1233.240.744.525.53922.228.434.133.5—
SFOD-Mosaic-Defoggy (SED)defoggy=true2020.1233.244.751.727.945.921.328.637.336.3—
SFOD-MosaicBackbone=VGG-16, Pre-trained=ImageNet, Input size=shorter side 600, IoU threshold=0.52023.0133.240.744.525.53922.228.434.133.5—
HTCNBackbone=VGG-16, Base detection model=Faster R-CNN2021.1133.247.547.931.647.440.932.337.139.8—
Oracledefoggy=false2020.1233.153.149.838.148.237.441.157.444.8—
OracleBackbone=VGG-16, Pre-trained=ImageNet, Input size=shorter side 600, IoU threshold=0.52023.0133.153.149.838.148.237.441.157.444.8—
HCLBackbone=VGG-16, Pre-trained=ImageNet, Input size=shorter side 600, IoU threshold=0.52023.013341.34626.940.72528.135.934.6—
UMTBackbone=VGG-16, Base detection model=Faster R-CNN2021.113346.748.634.156.546.830.437.341.7—
CR-DA-DETdefoggy=false2020.1232.943.849.227.245.136.430.334.637.4—