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Instance Segmentation on COD10K v3 (test)

45.3APDCNet
1.6212.9624.335.64Dec 29, 2023

Evaluation results

MethodLinks
DCNetLearning Paradigm=closed-set supervised learning, Params (Millions)=53.4/53.42023.1245.370.747.5
UQFormerLearning Paradigm=closed-set supervised learning, Params (Millions)=37.5/37.52023.1245.271.646.6
OVCIS (task-specific)Learning Paradigm=closed-set supervised learning, Fine-tuning=true, Params (Millions)=28.7/1522.72023.1245.171.147.4
CamoFALearning Paradigm=closed-set supervised learning2023.1243.574.942.7
OSFormerLearning Paradigm=closed-set supervised learning, Params (Millions)=46.6/46.62023.124171.140.8
MSPNetLearning Paradigm=closed-set supervised learning, Params (Millions)=48.1/48.12023.1239.769.839.8
Mask2FormerLearning Paradigm=closed-set supervised learning, Params (Millions)=43.9/43.92023.1239.467.738.5
MaskFormerLearning Paradigm=closed-set supervised learning, Params (Millions)=45.0/45.02023.1238.265.137.9
SOLOv2Learning Paradigm=closed-set supervised learning, Params (Millions)=46.2/46.22023.1232.563.229.9
CondInstLearning Paradigm=closed-set supervised learning, Params (Millions)=34.1/34.12023.1230.663.626.1
MS R-CNNLearning Paradigm=closed-set supervised learning, Params (Millions)=60.0/60.62023.1230.157.228.7
Mask TransfinerLearning Paradigm=closed-set supervised learning, Params (Millions)=44.3/44.32023.1228.756.326.4
QueryInstLearning Paradigm=closed-set supervised learning, Params (Millions)=172.5/172.52023.1228.560.123.1
BlendMaskLearning Paradigm=closed-set supervised learning, Params (Millions)=35.8/35.82023.1228.256.425.2
HTCLearning Paradigm=closed-set supervised learning, Params (Millions)=76.9/76.92023.1228.156.325.1
SOTRLearning Paradigm=closed-set supervised learning, Params (Millions)=63.1/63.12023.1227.958.724.1
Cascade R-CNNLearning Paradigm=closed-set supervised learning, Params (Millions)=71.7/71.72023.1225.356.121.3
Mask R-CNNLearning Paradigm=closed-set supervised learning, Params (Millions)=43.9/43.92023.122555.520.4
YOLACTLearning Paradigm=closed-set supervised learning, Params (Millions)=35.3/35.32023.1224.353.319.7
OVCISLearning Paradigm=open-vocab T2I, Fine-tuning=false, Params (Millions)=28.7/1522.72023.1223.944.323.1
ODISELearning Paradigm=open-vocab T2I, Fine-tuning=false, Params (Millions)=28.1/1522.12023.1221.137.820.5
TPNetLearning Paradigm=open-vocab VLM, Fine-tuning=false, Params (Millions)=71.78/71.782023.1218.341.814.3
X-DecoderLearning Paradigm=open-vocab VLM, Fine-tuning=false, Params (Millions)=38.3/38.32023.127.712.97.5
SEEMLearning Paradigm=open-vocab VLM, Fine-tuning=false, Params (Millions)=415.3/415.32023.126.610.86.5
OpenSeeDLearning Paradigm=open-vocab VLM, Fine-tuning=false, Params (Millions)=116.2/116.22023.126.110.45.9
MasQCLIPLearning Paradigm=open-vocab VLM, Fine-tuning=false, Params (Millions)=375.2/357.22023.124.17.75.8
MaskCLIPLearning Paradigm=open-vocab VLM, Fine-tuning=false, Params (Millions)=542.0/542.02023.123.35.94.1