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Interactive Segmentation on Berkeley

1.38NoC@90AdaptiveClick
1.32881.67442.022.3656Feb 12, 2021Nov 5, 2021Jul 29, 2022Apr 22, 2023Jan 13, 2024Oct 5, 2024Jun 29, 2025

Evaluation results

MethodLinks
AdaptiveClickTrain data=COCO+LVIS, Backbone=VIT-H, Fusion Strategy=Early Fusion2024.081.38—————
SAM-REFTrain data=COCO+LVIS, Backbone=ViT-H*, SPC/s=0.511, Fusion Strategy=Late Fusion2024.081.43—3.18———
FocSAM-ViT-HBackbone=ViT-H2024.051.47——0.39——
FocalClick-segformerB3-S2Train Data=Large Dataset [2,7,13,24,26,39,45,48], Backbone=segformerB32022.041.48—————
Ours-ViT-B+MST+CLBackbone=ViT-B, MST=true, CL=true, Training Data=COCO [26] and LVIS [27]2024.011.5—————
FocSAMTrain data=COCO+LVIS, Backbone=VIT-H*, SPC/s=0.467, Fusion Strategy=Late Fusion2024.081.5—3.44———
SAM-REFTrain data=COCO+LVIS, Backbone=ViT-B*, SPC/s=0.278, Fusion Strategy=Late Fusion2024.081.58—3.73———
GraCo w/ GT+AGGBackbone=ViT-L, Granularity Type=Granularity-Controllable, Granularity control input=GT+AGG, Selection Strategy=Optimal granularity (0 to 1, step 0.1)2024.051.611.17————
FocalClick-segformer-B3-S2Backbone=segformer-B3-S2, Training Data=COCO [26] and LVIS [27]2024.011.71—————
FocalClickTrain data=COCO+LVIS, Backbone=SegFB3-S2384, SPC/s=0.232, Fusion Strategy=Early Fusion2024.081.71—4.21———
GraCo w/ AGGBackbone=ViT-L, Granularity Type=Granularity-Controllable, Granularity control input=AGG, Selection Strategy=Optimal granularity (0 to 1, step 0.1)2024.051.731.23————
CFR-ICLBackbone=ViT-H, Supervision=Supervised: Trained on Ground Truth Labels2024.111.74—————
SimpleClickBackbone=ViT-H, Training Data=COCO+LVIS2022.101.751.36————
SimpleClick-ViT-HBackbone=ViT-H2024.051.75——6.99——
SimpleClickTrain data=COCO+LVIS, Backbone=VIT-H, SPC/s=8.24, Fusion Strategy=Early Fusion2024.081.75—4.34———
Ours-ViT-B+MSTBackbone=ViT-B, MST=true, Training Data=COCO [26] and LVIS [27]2024.011.77—————
FocalClick-hrnet32-S2Train Data=Large Dataset [2,7,13,24,26,39,45,48], Backbone=hrnet322022.041.85—————
SimpleClickBackbone=ViT-L, Training Data=COCO+LVIS2022.101.891.34————
SimpleClick-ViT-LBackbone=ViT-L2024.051.89——3.12——
SAMBackbone=ViT-B, Granularity Type=Multi-granularity, Prediction selection strategy=Best matching result from multiple predictions2024.051.911.35————
FocalClick-segformerB3-S2Train Data=COCO [26]+LVIS [13], Backbone=segformerB32022.041.92—————
FocalClickBackbone=SegF-B3, Training Data=COCO+LVIS2022.101.921.55————
FocalClick-SegFB3-S2Backbone=SegFB3, Model Config=S22024.051.92——0.1——
FCFIBackbone=HRNet-18, Train set=COCO+LVIS2023.031.96—————
SimpleClickBackbone=ViT-B, Training Data=COCO+LVIS2022.101.971.36————
SimpleClick-ViT-BBackbone=ViT-B, Training Data=COCO [26] and LVIS [27]2024.011.97—————
SimpleClick-ViT-BBackbone=ViT-B2024.051.97——1.26——
SAM-REFTrain data=HQSeg-44K, Backbone=ViT-H*, SPC/s=0.511, Fusion Strategy=Late Fusion2024.081.98—4.57———
HQ-SAM-VIT-HBackbone=VIT-H, Training Data=COCO [26] and LVIS [27]2024.012—————
SAMBackbone=ViT-L, Granularity Type=Multi-granularity, Prediction selection strategy=Best matching result from multiple predictions2024.052.011.37————
FCFIBackbone=HRNet-18s, Train set=COCO+LVIS2023.032.05—————
CDNetBackbone=ResNet-34, Training Data=COCO+LVIS2022.102.061.47————
CDNet-R34Backbone=ResNet-342024.052.06—————
CDNetTrain data=COCO+LVIS, Backbone=ResNet, Fusion Strategy=Early Fusion2024.082.06—————
GraCo w/ GT+AGGBackbone=ViT-B, Granularity Type=Granularity-Controllable, Granularity control input=GT+AGG, Selection Strategy=Optimal granularity (0 to 1, step 0.1)2024.052.071.33————
PseudoClickBackbone=HRNet-32, Training Data=COCO+LVIS2022.102.081.4————
PseudoClick-HR32Backbone=HR322024.052.08—————
PseudoClickTrain data=COCO+LVIS, Backbone=HRNet32, Fusion Strategy=Early Fusion2024.082.08—————
SimpleClickBackbone=ViT-H, Training Data=SBD2022.102.091.36————
SAMBackbone=ViT-H, Training Dataset=SBD2022.032.09—————
SAM-ViT-HBackbone=ViT-H, Conventional COCO+LVIS training=false2024.052.09——0.35——
SimpleClickBackbone=ViT-H, Supervision=Supervised: Trained on Ground Truth Labels2024.112.091.36————
SAMTrain data=SA-1B, Backbone=ViT-H, SPC/s=0.413, Fusion Strategy=Late Fusion2024.082.09—5.14———
RITMBackbone=HRNet-32, Training Dataset=COCO+LVIS, Iterative Mode (IT-M)=true, Number of iterations (Niters)=32021.022.1—————
RITM-hrnet32Train Data=COCO [26]+LVIS [13], Backbone=hrnet322022.042.1—————
RITMBackbone=HRNet-32, Training Data=COCO+LVIS2022.102.11.43————
RITM-hrnet32Backbone=hrnet32, Training Data=COCO [26] and LVIS [27]2024.012.1—————
RITM-HR32Backbone=HR322024.052.1—————
RITMTrain data=COCO+LVIS, Backbone=HRNet32, Fusion Strategy=Early Fusion2024.082.1—5.41———
CSFPNBackbone=HRNet-18, Training Dataset=COCO+LVIS2022.032.12—————
HQ-SAMTrain data=HQSeg-44K, Backbone=ViT-H*, SPC/s=0.443, Fusion Strategy=Late Fusion2024.082.14—4.94———
MFPBackbone=ViT-B2024.042.171.396.18———
DC-TTABackbone=ViT-B, Input Resolution=1024x1024, Max Clicks=202025.062.171.8——00
CPlotBackbone=ViT-B, Supervision=Supervised: Trained on Ground Truth Labels2024.112.181.4————
GraCo w/ AGGBackbone=ViT-B, Granularity Type=Granularity-Controllable, Granularity control input=AGG, Selection Strategy=Optimal granularity (0 to 1, step 0.1)2024.052.211.37————
SAM-VIT-HBackbone=VIT-H, Training Data=COCO [26] and LVIS [27]2024.012.25—————
RITMBackbone=HRNet-18, Training Dataset=COCO+LVIS, Iterative Mode (IT-M)=true, Number of iterations (Niters)=32021.022.26—————
RITMBackbone=HRNet-18, Train set=COCO+LVIS2023.032.26—————
RITMBackbone=HRNet-18, Training Dataset=COCO+LVIS2022.032.26—————
FocalClick-segformerB0-S2Train Data=COCO [26]+LVIS [13], Backbone=segformerB02022.042.27—————
FocalClickBackbone=SegF-B0, Training Data=COCO+LVIS2022.102.271.59————
FocalClick-SegFB0-S2Backbone=SegFB0, Model Config=S22024.052.27——0.02——
AdaptSAMBackbone=ViT-B, Input Resolution=1024x1024, Max Clicks=202025.062.291.77——00
DC-onlyBackbone=ViT-B, Input Resolution=1024x1024, Max Clicks=202025.062.321.79——01
SimpleClickBackbone=ViT-L, Training Data=SBD2022.102.331.4————
SimpleClickBackbone=ViT-L, Granularity Type=Single-granularity2024.052.331.4————
FocalClick-hrnet32-S2Train Data=COCO [26]+LVIS [13], Backbone=hrnet322022.042.36—————
FocalClickBackbone=HRNet-32, Training Dataset=COCO+LVIS2022.032.36—————
FocalClick-HR32-S2Backbone=HR32, Model Config=S22024.052.36——0.14——
EdgeFlow2021.092.4—————
EdgeFlow-hrnet18Train Data=COCO [26]+LVIS [13], Backbone=hrnet182022.042.4—————
EdgeFlowBackbone=HRNet-18, Train set=COCO+LVIS2023.032.4—————
EdgeFlow-hrnet18Backbone=hrnet18, Training Data=COCO [26] and LVIS [27]2024.012.4—————
EdgeFlow-HR18Backbone=HR182024.052.4—————
EdgeFlowTrain data=COCO+LVIS, Backbone=HRNet18, Fusion Strategy=Early Fusion2024.082.4—————
FocalClick-S2Backbone=HRNet-18s, Train set=COCO+LVIS2023.032.41—————
BaselineBackbone=ViT-B, Input Resolution=1024x1024, Max Clicks=202025.062.411.8——01
TENTBackbone=ViT-B, Input Resolution=1024x1024, Max Clicks=202025.062.411.77——01
SAMBackbone=ViT-L, Granularity Type=Multi-granularity2024.052.421.84————
f-BRS-B-hrnet32Train Data=COCO [26]+LVIS [13], Backbone=hrnet322022.042.44—————
f-BRS-B-hrnet32Backbone=hrnet32, Training Data=COCO [26] and LVIS [27]2024.012.44—————
f-BRS-B-HR32Backbone=HR322024.052.44—————
SimpleClickBackbone=ViT-B, Training Data=SBD2022.102.461.44————
SimpleClickBackbone=ViT-B, Granularity Type=Single-granularity2024.052.461.44————
SimpleClickBackbone=ViT-B2024.042.461.446.7———
SimpleClickBackbone=ViT-B, Supervision=Supervised: Trained on Ground Truth Labels2024.112.461.44————
RITMBackbone=HRNet-18, Training Dataset=COCO+LVIS, Iterative Mode (IT-M)=false2021.022.48—————
RITM-H18Backbone=HRNet-182021.092.48—————
iCMFormerBackbone=ViT-B2024.042.521.42————
InterFormer-TinyModel Size=Tiny2024.052.53——0.23——
InterFormer-TinyBackbone=ViT-L, Supervision=Supervised: Trained on Ground Truth Labels2024.112.53—————
InterFormerTrain data=COCO+LVIS, Backbone=VIT-L, SPC/s=0.271, Fusion Strategy=Late Fusion2024.082.53—————
RITMBackbone=HRNet-18s, Training Dataset=COCO+LVIS, Iterative Mode (IT-M)=true, Number of iterations (Niters)=32021.022.6—————
RITM-hrnet18sTrain Data=COCO [26]+LVIS [13], Backbone=hrnet18s2022.042.6—————
RITMBackbone=HRNet-18s, Train set=COCO+LVIS2023.032.6—————
RITM-hrnet18sBackbone=hrnet18s, Training Data=COCO [26] and LVIS [27]2024.012.6—————
GPCISBackbone=ResNet-50, Granularity Type=Single-granularity2024.052.61.6————
GPCISBackbone=ResNet-502024.042.61.66.77———
RITM-HR18sBackbone=HR18s2024.052.6—————
FocalClick-hrnet18s-S2Train Data=COCO [26]+LVIS [13], Backbone=hrnet18s2022.042.66—————