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Instance Segmentation on LVIS v0.5 (val)

32Mask APEQL v2
22.43224.91627.429.884Dec 15, 2020Mar 22, 2021Jun 27, 2021Oct 3, 2021Jan 8, 2022Apr 15, 2022Jul 22, 2022

Evaluation results

MethodLinks
EQL v2framework=HTC-X101, sampler=random2020.1232—————24.232.834.134———————————
BAGSframework=HTC-X101, sampler=random/random, re-implemented=true2020.1231.2—————23.432.332.933.7———————————
EQL v2framework=Cascade-R101, sampler=random2020.1230.2—————2330.932.133———————————
GOLFramework=Mask-RCNN R50-FPN2022.0729.5—————22.531.330.1————————————
Seesaw + PCBBackbone=R-50-FPN2022.0128.843.830.9———23.429.630————————————
De-confound-TDEframework=Cascade-R101, sampler=random2020.1228.4—————22.12930.331———————————
LOCEBackbone=R-50-FPN2022.0128.4—————222930.2————————————
LOCEFramework=Mask-RCNN R50-FPN2022.0728.4—————222930.2————————————
LOCEFramework=Mask R-CNN, Backbone=R-50-FPN2021.0828.4—————222930.2————————————
EQL v2framework=Mask-R101, sampler=random2020.1228.1—————20.728.330.928.1———————————
DisAlignFramework=Mask-RCNN R50-FPN2022.0727.9—————16.229.330.8————————————
SeesawBackbone=R-50-FPN2022.0127.842.629.6———19.928.929.5————————————
EQL v2framework=Mask-R50, sampler=random2020.1227.1—————18.627.629.927———————————
EQLv2Framework=Mask-RCNN R50-FPN2022.0727.1—————18.627.629.9————————————
EQL v2Framework=Mask R-CNN, Backbone=R-50-FPN2021.0827.1—————18.627.629.9————————————
Mask R-CNNBackbone=X101-32x8d2021.032741.428.71935.143.715.427.331.321.437.621.2193221.711.221.625.1———
BALMSFramework=Mask-RCNN R50-FPN2022.0727—————19.628.927.5————————————
BALMSFramework=Mask R-CNN, Backbone=R-50-FPN2021.0827—————19.628.927.5————————————
EQL v2Backbone=R-50-FPN2022.0126.941.528.9———17.827.229.5————————————
DropLossFramework=Mask-RCNN R50-FPN2022.0726.4—————17.328.727.2————————————
BAGSframework=Mask-R50, sampler=random/random2020.1226.3—————1826.928.725.8———————————
BAGSBackbone=R-50-FPN2022.0126.3—————1826.928.7————————————
BAGSFramework=Mask R-CNN, Backbone=R-50-FPN2021.0826.3—————1826.928.7————————————
BAGSFramework=Mask-RCNN R50-FPN2022.0726.2—————1826.928.7————————————
RFSFramework=Mask R-CNN, Backbone=R-50-FPN2021.0825.9—————17.826.228.8————————————
Mask R-CNNBackbone=R1012021.0325.839.727.317.63343.715.52629.620.135.219.817.629.920.811.820.123.5———
Forest R-CNNframework=Mask-R50, sampler=nms-resample2020.1225.6—————18.326.427.625.9———————————
Forest-RCNNFramework=Mask-RCNN R50-FPN2022.0725.6—————18.326.427.6————————————
Forest R-CNNFramework=Mask R-CNN, Backbone=R-50-FPN2021.0825.6—————18.326.427.6————————————
RFSFramework=Mask-RCNN R50-FPN2022.0725.4—————16.325.728.7————————————
EQLFramework=Mask R-CNN, Backbone=R-50-FPN2021.0825.2—————14.624.426.8————————————
Mask R-CNNBackbone=R502021.0324.437.72616.731.241.2162428.318.833.91816.72819.311.918.222.3———
RFSframework=Mask-R50, sampler=repeat2020.1224.4—————14.524.328.4————————————
SimCalframework=Mask-R50, sampler=random/balance2020.1223.4—————16.422.527.2————————————
LSTframework=Mask-R502020.1223————————————————————
EQLframework=Mask-R50, sampler=random2020.1222.8—————11.324.725.123.3———————————
IN-supPretrain Images=1.28M, Backbone=ResNet-50-FPN2020.06——————————————————24.53826.1
IN-sup-10%Pretrain Images=128K, Backbone=ResNet-50-FPN2020.06——————————————————20.532.821.7
IN-sup-50%Pretrain Images=640K, Backbone=ResNet-50-FPN2020.06——————————————————23.736.725.1
MoCo-COCOPretrain Images=118K, Backbone=ResNet-50-FPN2020.06——————————————————23.135.324.9
MoCo-INPretrain Images=1.28M, Backbone=ResNet-50-FPN2020.06——————————————————24.137.425.5
Random InitPretrain Images=None, Backbone=ResNet-50-FPN2020.06——————————————————22.534.823.8
VirTexPretrain Images=118K, Backbone=ResNet-50-FPN2020.06——————————————————25.43926.9