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Instance Segmentation on NC4K

52.9APOVCIS (task-specific)
1.9415.1728.441.63Dec 29, 2023

Evaluation results

MethodLinks
OVCIS (task-specific)Learning Paradigm=closed-set supervised learning, Fine-tuning=true, Params (Millions)=28.7/1522.72023.1252.976.855.9
DCNetLearning Paradigm=closed-set supervised learning, Params (Millions)=53.4/53.42023.1252.877.156.5
UQFormerLearning Paradigm=closed-set supervised learning, Params (Millions)=37.5/37.52023.1247.274.249.2
Mask2FormerLearning Paradigm=closed-set supervised learning, Params (Millions)=43.9/43.92023.1245.873.647.5
CamoFALearning Paradigm=closed-set supervised learning2023.124575.744.3
MaskFormerLearning Paradigm=closed-set supervised learning, Params (Millions)=45.0/45.02023.1244.671.945.8
OSFormerLearning Paradigm=closed-set supervised learning, Params (Millions)=46.6/46.62023.1242.572.542.3
MSPNetLearning Paradigm=closed-set supervised learning, Params (Millions)=48.1/48.12023.1241.871.842.3
SOLOv2Learning Paradigm=closed-set supervised learning, Params (Millions)=46.2/46.22023.1234.465.931.9
CondInstLearning Paradigm=closed-set supervised learning, Params (Millions)=34.1/34.12023.1233.467.429.4
QueryInstLearning Paradigm=closed-set supervised learning, Params (Millions)=172.5/172.52023.123366.729.4
YOLACTLearning Paradigm=closed-set supervised learning, Params (Millions)=35.3/35.32023.1232.165.327.9
MS R-CNNLearning Paradigm=closed-set supervised learning, Params (Millions)=60.0/60.62023.123158.729.4
HTCLearning Paradigm=closed-set supervised learning, Params (Millions)=76.9/76.92023.1229.85926.6
Cascade R-CNNLearning Paradigm=closed-set supervised learning, Params (Millions)=71.7/71.72023.1229.560.824.8
Mask TransfinerLearning Paradigm=closed-set supervised learning, Params (Millions)=44.3/44.32023.1229.456.727.2
SOTRLearning Paradigm=closed-set supervised learning, Params (Millions)=63.1/63.12023.1229.36125.6
Mask R-CNNLearning Paradigm=closed-set supervised learning, Params (Millions)=43.9/43.92023.1227.758.622.7
BlendMaskLearning Paradigm=closed-set supervised learning, Params (Millions)=35.8/35.82023.1227.756.724.2
OVCISLearning Paradigm=open-vocab T2I, Fine-tuning=false, Params (Millions)=28.7/1522.72023.1224.844.223.9
ODISELearning Paradigm=open-vocab T2I, Fine-tuning=false, Params (Millions)=28.1/1522.12023.1222.937.221.4
TPNetLearning Paradigm=open-vocab VLM, Fine-tuning=false, Params (Millions)=71.78/71.782023.1221.448.316.6
OpenSeeDLearning Paradigm=open-vocab VLM, Fine-tuning=false, Params (Millions)=116.2/116.22023.129.314.59.8
SEEMLearning Paradigm=open-vocab VLM, Fine-tuning=false, Params (Millions)=415.3/415.32023.129.212.79.9
MasQCLIPLearning Paradigm=open-vocab VLM, Fine-tuning=false, Params (Millions)=375.2/357.22023.1287.68.4
MaskCLIPLearning Paradigm=open-vocab VLM, Fine-tuning=false, Params (Millions)=542.0/542.02023.126.35.66.5
X-DecoderLearning Paradigm=open-vocab VLM, Fine-tuning=false, Params (Millions)=38.3/38.32023.123.98.13.4