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ResearchFormerly WizWand

Classification on PLGC

96.41AccuracyS3R-CR
83.857287.116190.37593.6339Sep 19, 2022
Updated 8mo ago

Evaluation results

MethodLinks
S3R-CRBackbone=ResNet502022.0996.410.51
S3R-BRBackbone=ResNet502022.0995.520.26
BYOLBackbone=ResNet50, Number of bands=3 bands2022.0995.070.69
SimSiamBackbone=ResNet50, Number of bands=3 bands2022.0995.070.9
S3R-CRBackbone=ResNet182022.0995.070.21
IN1K pre-trainedBackbone=ResNet502022.0994.621.7
BYOLBackbone=ResNet18, Number of bands=3 bands2022.0994.620.9
BYOLBackbone=ResNet18, Number of bands=32 bands2022.0994.620.26
SimSiamBackbone=ResNet18, Number of bands=3 bands2022.0994.620.63
S3R-BRBackbone=ResNet182022.0994.620.42
BYOLBackbone=ResNet50, Number of bands=32 bands2022.0994.170.52
MHSIMBackbone=ResNet502022.0994.170.52
SimSiamBackbone=ResNet18, Number of bands=32 bands2022.0993.720.69
IN1K pre-trainedBackbone=ResNet182022.0993.270.51
MHSIMBackbone=ResNet182022.0993.271.44
SimSiamBackbone=ResNet50, Number of bands=32 bands2022.0992.380.51
SSADBackbone=ResNet182022.0992.382.99
SSADBackbone=ResNet502022.0991.030.68
Conv-DeconvBackbone=ResNet182022.0990.130.93
Conv-DeconvBackbone=ResNet502022.0990.130.45
ScratchBackbone=ResNet182022.0985.21.58
ScratchBackbone=ResNet502022.0984.342.87