List your company

Image Classification on ImageNet 32x32 1000 categories (test)

41.28Test AccuracyTeacher
9.008817.386925.76534.1431Oct 27, 2021

Evaluation results

MethodLinks
TeacherModel=resnet-56, Training Data=ImageNet (Original Data)2021.1041.28
KDTeacher=resnet-56, Student=mobilenetv2, Training Data=ImageNet (Original Data)2021.1032.55
StudentModel=mobilenetv2, Training Data=ImageNet (Original Data)2021.1032.48
StudentModel=resnet-20, Training Data=ImageNet (Original Data)2021.1032.2
KDTeacher=resnet-56, Student=resnet-20, Training Data=ImageNet (Original Data)2021.1032.18
MosaicKDTeacher=resnet-56, Student=resnet-20, Training Data=Places365 (OOD Data)2021.1026.51
KDTeacher=resnet-56, Student=resnet-20, Training Data=Places365 (OOD Data)2021.1021.76
FitNetTeacher=resnet-56, Student=resnet-20, Training Data=Places365 (OOD Data)2021.1021.45
BalancedTeacher=resnet-56, Student=resnet-20, Training Data=Places365 (OOD Data)2021.1021.09
MosaicKDTeacher=resnet-56, Student=mobilenetv2, Training Data=Places365 (OOD Data)2021.1020.46
FitNetTeacher=resnet-56, Student=mobilenetv2, Training Data=Places365 (OOD Data)2021.1013.12
BalancedTeacher=resnet-56, Student=mobilenetv2, Training Data=Places365 (OOD Data)2021.1011.34
KDTeacher=resnet-56, Student=mobilenetv2, Training Data=Places365 (OOD Data)2021.1010.25