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Instance Segmentation on COCO 2017 (test-dev)

53AP (Overall)Soft Teacher
38.9642.60546.2549.895Mar 5, 2018Jan 4, 2019Nov 6, 2019Sep 7, 2020Jul 10, 2021May 12, 2022Mar 14, 2023

Evaluation results

MethodLinks
Soft Teacherdetector=HTC++, backbone=Swin-L, scale=multi-scale, pre-training=Object365 [24]2021.0653—————————
Soft Teacherdetector=HTC++, backbone=Swin-L, scale=multi-scale2021.0652.4—————————
Mask2Former + Instance-Unique QueryingBackbone=Swin-L, #Epoch=1002022.1051.87656.829.955.173.3————
Superviseddetector=HTC++, backbone=Swin-L, scale=multi-scale2021.0651.2—————————
Mask2FormerBackbone=Swin-L, #Epoch=1002022.1050.274.854.729.253.871.1————
QueryInstBackbone=Swin-L, Epochs=50, Training scale=multi-scale [400, 1200], Testing scale=single-scale2021.0649.1——31.551.863.2————
QueryInst (300 Queries)Backbone=Swin-L, Aug.=400 ~ 1200 w/ crop, Epochs=50, FPS=3.3 T, Stages=6, Queries=3002021.0549.174.253.831.551.863.2————
Hybrid Task CascadeDCN=true, SyncBN=true, Multi-scale training=true, Backbone=SENet-154, GA-RPN=true, Multi-scale testing=true, Ensemble=true2019.01497353.933.952.361.2————
Hybrid Task CascadeDCN=true, SyncBN=true, Multi-scale training=true, Backbone=SENet-154, GA-RPN=true, Multi-scale testing=true2019.0147.470.652.130.250.161.8————
Mask2Former + Instance-Unique QueryingBackbone=Swin-B, #Epoch=502022.1047.371.35128.350.969.4————
COCO 2017 Winner2019.0146.769.551.32649.164————
SOLQBackbone=Swin-L, Epochs=50, Training scale=multi-scale [400, 1200], Testing scale=single-scale2021.0646.7——29.250.160.9————
SOLQBackbone=Swin-L, #Epoch=502022.1046.772.750.629.250.160.9————
Mask2Former + Instance-Unique QueryingBackbone=Swin-S, #Epoch=502022.1046.770.750.12750.968.8————
GCNetBackbone=ResNeXt-101 64x4d, Cascade strategy=true, Deformable Convolution (DCN)=true, Head type=4conv1fc, Multiscale training=true, Training schedule=3x schd, GC ratio=r4, FLOPs(G)=1040.6G2020.1245.468.949.6———————
Hybrid Task CascadeDCN=true, SyncBN=true, Multi-scale training=true, Backbone=SENet-154, GA-RPN=true2019.0145.368.949.42748.359.6————
Mask2FormerBackbone=Swin-B, #Epoch=502022.1044.968.548.524.648.767.4————
Transformer-based BCNetBackbone=R50-FPN, Type=Query-based2022.0844.668.148.724.147.766.7————
QueryInst (300 Queries)Backbone=ResNeXt-101-FPN w/ DCN, Aug.=480 ~ 800 w/ crop, Epochs=36, FPS=3.1, Stages=6, Queries=3002021.0544.668.148.726.646.957.7————
Mask2FormerBackbone=Swin-S, #Epoch=502022.1044.568.247.724.34966.6————
Hybrid Task CascadeDCN=true, SyncBN=true, Multi-scale training=true, Backbone=SENet-1542019.0144.367.548.32547.558.9————
BoxeR-2DEpoch=36, end-to-end=true, Backbone=R-101, Schedule=3×2021.1143.8——2546.557.9————
Mask2FormerBackbone=R50-FPN, Type=Query-based2022.0843.666.547.923.547.464.1————
QueryInstBackbone=R101-FPN, Epochs=36, Training scale=multi-scale, Testing scale=single-scale2021.0642.8——24.64555.5————
QueryInstEpoch=36, end-to-end=false, Backbone=R-1012021.1142.8——24.64555.5————
QueryInst (300 Queries)Backbone=ResNet-101-FPN, Aug.=480 ~ 800 w/ crop, Epochs=36, FPS=6.1, Stages=6, Queries=3002021.0542.865.646.724.64555.5————
SOTR + Instance-Unique QueryingBackbone=ResNet-101, #Epoch=242022.1042.664.145.811.261.275.3————
Hybrid Task CascadeDCN=true, SyncBN=true, Multi-scale training=true2019.0142.564.846.423.745.356.7————
SOTR + Instance-Unique QueryingBackbone=ResNet-50, #Epoch=242022.1042.261.943.91160.573.5————
PANetBackbone=ResNeXt-101, multi-scale training=true2018.034265.145.722.444.758.1————
PANetbackbone=ResNeXt-101, stage type=Two-stage2020.074265.145.722.444.758.1————
DynaMaskBackbone=ResNeXt-101-FPN, Sched.=3x, Multi-scale training=true2023.034262.946.323.44454.8————
CenterMask*Backbone=V-99-FPN, epochs=36, GPU=V100, Implementation base=Detectron22019.1141.8——24.444.454.37712.9——
QueryInstBackbone=ResNet-101-FPN, Sched.=3x, Multi-scale training=true2023.0341.764.445.324.243.953.9————
QueryInst (300 Queries)Backbone=ResNet-101-FPN, Aug.=640 ~ 800, Epochs=36, FPS=6.1, Stages=6, Queries=3002021.0541.764.445.324.243.953.9————
Mask TransfinerBackbone=R50-FPN, Type=Query-based2022.0841.663.945.524.244.655.2————
GCNet (r=16)Backbone=ResNeXt-101, Deformable Convolution=true, FLOPs=547.8G2019.0441.564.645———————
GCNet (r=4)Backbone=ResNeXt-101, Deformable Convolution=true, FLOPs=547.8G2019.0441.564.645———————
GCNetBackbone=ResNeXt-101, Cascade strategy=true, Deformable Convolution (DCN)=true, GC ratio=r16, FLOPs(G)=547.8G2020.1241.564.645———————
GCNetBackbone=ResNeXt-101, Cascade strategy=true, Deformable Convolution (DCN)=true, GC ratio=r4, FLOPs(G)=547.8G2020.1241.564.645———————
PointRendBackbone=ResNeXt-101-FPN, Sched.=3x, Multi-scale training=false2023.0341.463.344.824.243.953.2————
DynaMaskBackbone=ResNet-101-FPN, Sched.=3x, Multi-scale training=true2023.0341.362.545.222.843.454————
Cascade R-CNN BaselineBackbone=ResNeXt-101, Deformable Convolution=true, FLOPs=547.5G2019.044163.944.3———————
Cascade R-CNNBackbone=ResNeXt-101, Cascade strategy=true, Deformable Convolution (DCN)=true, FLOPs(G)=547.5G2020.124163.944.3———————
QueryInstBackbone=ResNet-101, #Epoch=362022.104163.344.521.744.460.7————
SOLQBackbone=R101, Epochs=50, Training scale=multi-scale, Testing scale=single-scale2021.0640.9——22.543.854.6————
SOLQEpoch=50, end-to-end=true, Backbone=R-1012021.1140.9——22.543.854.6————
HTCBackbone=R101-FPN, Epochs=36, Training scale=multi-scale, Testing scale=single-scale2021.0640.8——2343.552.6————
HTCBackbone=ResNet-101-FPN, Aug.=480 ~ 800 w/ crop, Epochs=36, FPS=2.52021.0540.862.644.32343.552.6————
Hybrid Task CascadeDCN=true, SyncBN=true2019.0140.762.844.222.243.154.4————
CenterMask-LiteBackbone=VoVNet-39-FPN, Size=600x, FPS=35.7 (P)2020.0440.7——22.443.253.5————
Mask TransfinerBackbone=ResNet-101-FPN, Sched.=3x, Multi-scale training=true2023.0340.7——23.142.853.8————
HTCBackbone=ResNet-101-FPN, Aug.=640 ~ 800, Epochs=36, FPS=2.52021.0540.762.744.223.143.452.7————
CenterMaskBackbone=V-99-FPN, epochs=36, GPU=V1002019.1140.6——20.142.8578411.9——
QueryInstBackbone=R50-FPN, Epochs=36, Training scale=multi-scale, Testing scale=single-scale2021.0640.6——23.442.552.8————
QueryInst (300 Queries)Backbone=ResNet-50-FPN, Aug.=640 ~ 800, Epochs=36, FPS=7, Stages=6, Queries=3002021.0540.6634423.442.552.8————
DCNv2backbone=ResNext-101, architecture=Mask R-CNN2018.1140.5—————————
SOTRBackbone=ResNet-101, #Epoch=242022.1040.261.243.410.25973.1————
SIMbackbone=Swin-B-FPN, schedule=3x, supervision=box-supervised2023.0340.266.941.321.143.556————
GCNet (r=4)Backbone=ResNeXt-101, Deformable Convolution=false, FLOPs=537.3G2019.0440.162.943.3———————
GCNetBackbone=ResNeXt-101, Cascade strategy=true, GC ratio=r4, FLOPs(G)=537.3G2020.1240.162.943.3———————
DCT-MaskBackbone=R101-FPN, Epochs=36, Training scale=multi-scale, Testing scale=single-scale2021.0640.1——22.742.751.8————
K-NetBackbone=ResNet-101, #Epoch=362022.1040.162.843.118.742.758.8————
DCT-MaskBackbone=ResNet-101-FPN, Sched.=3x, Multi-scale training=true2023.0340.161.243.622.742.751.8————
QueryInst (100 Queries)Backbone=ResNet-50-FPN, Aug.=640 ~ 800, Epochs=36, FPS=10.5, Stages=6, Queries=1002021.0540.162.343.423.342.152————
PANetBackbone=ResNeXt-101, multi-scale training=false2018.034062.843.118.842.357.2————
GCNet (r=16)Backbone=ResNeXt-101, Deformable Convolution=false, FLOPs=537.2G2019.044062.943.1———————
GCNetBackbone=ResNeXt-101, Cascade strategy=true, GC ratio=r16, FLOPs(G)=537.2G2020.124062.943.1———————
Cascade Mask R-CNNBackbone=R101-FPN, Epochs=36, Training scale=multi-scale, Testing scale=single-scale2021.0640——22.542.551.2————
Cascade Mask R-CNNBackbone=ResNet-101-FPN, Aug.=480 ~ 800 w/ crop, Epochs=36, FPS=8.72021.054061.743.522.542.551.2————
ISTRBackbone=R101-FPN, Epochs=36, Training scale=multi-scale, Testing scale=single-scale2021.0639.9——22.841.952.3————
CondInst + Instance-Unique QueryingBackbone=ResNet-101, #Epoch=122022.1039.962.742.420.842.355.7————
QueryInstBackbone=R50-FPN, Type=Query-based2022.0839.962.24322.941.751.9————
QueryInst (5 Stage, 100 Queries)Backbone=ResNet-50-FPN, Aug.=640 ~ 800, Epochs=36, FPS=13.5, Stages=5, Queries=1002021.0539.962.24322.941.751.9————
CenterMask*Backbone=R-101-FPN, epochs=36, GPU=V100, Implementation base=Detectron22019.1139.8——21.742.5526615.2——
BCNet + Faster R-CNNBackbone=ResNet-1012021.0339.861.543.122.742.451.1————
BCNet + Faster R-CNNBackbone=R101-FPN, Type=Two-stage2022.0839.861.543.122.742.451.1————
Cascade Mask R-CNNBackbone=ResNet-101-FPN, Aug.=640 ~ 800, Epochs=36, FPS=8.72021.0539.861.64322.442.250.8————
DCNv2backbone=ResNet-101, architecture=Mask R-CNN2018.1139.7—————————
HTCbackbone=ResNet-101, stage type=Two-stage2020.0739.761.843.12142.253.5————
HTCBackbone=ResNet-1012021.0339.761.843.12142.253.5————
HTCBackbone=R50-FPN, Epochs=36, Training scale=multi-scale, Testing scale=single-scale2021.0639.7——22.642.250.6————
SOLQBackbone=R50, Epochs=50, Training scale=multi-scale, Testing scale=single-scale2021.0639.7——21.542.553.1————
SOLOv2Backbone=R101-FPN, Epochs=72, Training scale=multi-scale, Testing scale=single-scale2021.0639.7——17.342.957.4————
SOLOv2backbone=ResNet-101-FPN, schedule=3x, supervision=fully-supervised2023.0339.760.742.917.342.957.4————
SOLOv2Backbone=ResNet-101-FPN, Sched.=6x, Multi-scale training=false2023.0339.760.742.917.342.957.4————
HTCBackbone=ResNet-101-FPN, Sched.=20e, Multi-scale training=false2023.0339.761.843.12142.253.5————
HTCBackbone=R101-FPN, Type=Two-stage2022.0839.761.843.12142.253.5————
SOLQBackbone=R50-FPN, Type=Query-based2022.0839.7——21.542.553.1————
HTCBackbone=ResNet-50-FPN, Aug.=640 ~ 800, Epochs=36, FPS=3.12021.0539.761.443.122.642.250.6————
MS R-CNNBackbone=ResNet-101 DCN+FPN2019.0339.660.743.118.841.556.2————
CenterMaskBackbone=X-101-FPN, epochs=36, GPU=V1002019.1139.6——19.74255.21238.1——
BCNet + FCOSBackbone=ResNet-1012021.0339.661.242.722.342.351————
BlendMaskBackbone=R101-FPN, Epochs=36, Training scale=multi-scale, Testing scale=single-scale2021.0639.6——22.442.251.4————
HTCBackbone=ResNet-101, #Epoch=202022.1039.66142.821.342.955————
SOLOv2 + Instance-Unique QueryingBackbone=ResNet-101, #Epoch=122022.1039.660.643.12043.356.9————
SOTRBackbone=ResNet-50, #Epoch=242022.1039.660.742.610.358.772.1————
DynaMaskBackbone=ResNet-101-FPN, Sched.=3x, Multi-scale training=false2023.0339.661.442.921.242.453.2————
BCNet + FCOSBackbone=R101-FPN, Type=One-stage2022.0839.661.242.722.342.351————
Hybrid Task CascadeDCN=true2019.0139.561.342.820.941.852.7————