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ResearchFormerly WizWand

Image Classification on Dogs

86AccuracyCapPa L/14
19.49236.758554.02571.2915Mar 20, 2023Oct 6, 2023Apr 24, 2024Nov 11, 2024May 31, 2025Dec 18, 2025Jul 7, 2026
Updated 3mo ago

Evaluation results

MethodLinks
CapPa L/14MAP head=true, Grain=Fine, Frozen representation=true, backbone=ViT-L/142023.0686
IndividualBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Number of Merged Models=12024.0585.16
CLIP* L/14MAP head=true, Grain=Fine, Frozen representation=true, backbone=ViT-L/142023.0685
EMR-MERGINGBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Number of Merged Models=302024.0581.89
CapPaMAP head=true, Grain=Fine, Frozen representation=true2023.0681.2
DREAMWay=5, Shot=52026.0381.2
CapMAP head=true, Grain=Fine, Frozen representation=true2023.0679.6
CLIPWay=5, Shot=52026.0378.2
CLIP* (16k)MAP head=true, Grain=Fine, Frozen representation=true2023.0677.9
CLIP* (8k)MAP head=true, Grain=Fine, Frozen representation=true2023.0677.5
SCPTBackbone=ViT-B/322026.0773.13
ATPromptBackbone=ViT-B/322026.0771.3
SCPTBackbone=RN502026.0770.63
CoOpBackbone=ViT-B/322026.0770.23
FiGKDTeacher=ResNet32x4, Student=ShuffleNet-V22025.0570.14
MLKDTeacher=ResNet32x4, Student=ShuffleNet-V22025.0569.54
TCPBackbone=ViT-B/322026.0768.67
FiGKDTeacher=WRN-40-2, Student=WRN-16-22025.0568.53
FiGKDTeacher=WRN-40-2, Student=WRN-40-12025.0568.48
SSPStudent Model=LCNet-35, Teacher Selection Metric=SSP2026.0568
R12Student Model=LCNet-35, Teacher Selection Metric=R122026.0568
DKDTeacher=ResNet32x4, Student=ShuffleNet-V22025.0567.97
TeacherTeacher=ResNet32x42025.0567.79
MLKDTeacher=WRN-40-2, Student=WRN-40-12025.0567.61
MLKDTeacher=WRN-40-2, Student=WRN-16-22025.0567.5
FiGKDTeacher=ResNet32x4, Student=ResNet8x42025.0567.27
ATPromptBackbone=RN502026.0767.27
KgCoOpBackbone=ViT-B/322026.0767.13
MLKDTeacher=ResNet32x4, Student=ResNet8x42025.0567.07
KDTeacher=WRN-40-2, Student=WRN-16-22025.0567.07
KDTeacher=WRN-40-2, Student=WRN-40-12025.0567.03
CoOpBackbone=RN502026.0767.01
DKDTeacher=WRN-40-2, Student=WRN-16-22025.0566.96
X+OS_SimCorep=5%2023.0366.82
DKDTeacher=WRN-40-2, Student=WRN-40-12025.0566.51
X+OS_SimCoreCriterion=Stopping Criterion2023.0366.48
KDTeacher=ResNet32x4, Student=ShuffleNet-V22025.0566.37
DKDTeacher=ResNet32x4, Student=ResNet8x42025.0566.23
TCPBackbone=RN502026.0766.16
TeacherTeacher=WRN-40-22025.0565.64
KgCoOpBackbone=RN502026.0763.63
KDTeacher=ResNet32x4, Student=ResNet8x42025.0563.43
FiGKDTeacher=VGG13, Student=VGG82025.0563.41
StudentStudent=WRN-40-12025.0562.64
MLKDTeacher=VGG13, Student=VGG82025.0562.58
StudentStudent=WRN-16-22025.0562.51
DKDTeacher=VGG13, Student=VGG82025.0561.98
FiGKDTeacher=WRN-40-2, Student=ShuffleNet-V12025.0561.93
FiGKDTeacher=ResNet32x4, Student=ShuffleNet-V12025.0561.32
FiGKDTeacher=VGG13, Student=MobileNet-V22025.0561
MLKDTeacher=WRN-40-2, Student=ShuffleNet-V12025.0560.9
MLKDTeacher=VGG13, Student=MobileNet-V22025.0560.56
TeacherTeacher=VGG132025.0560.55
KDTeacher=VGG13, Student=VGG82025.0560.33
DKDTeacher=WRN-40-2, Student=ShuffleNet-V12025.0559.66
DKDTeacher=VGG13, Student=MobileNet-V22025.0559.57
CLIPBackbone=ViT-B/322026.0759.35
StudentStudent=ResNet8x42025.0558.62
DKDTeacher=ResNet32x4, Student=ShuffleNet-V12025.0558.62
MLKDTeacher=ResNet32x4, Student=ShuffleNet-V12025.0557.57
StudentStudent=ShuffleNet-V22025.0557.26
KDTeacher=VGG13, Student=MobileNet-V22025.0557.26
ProTextBackbone=ViT-B/322026.0757.17
KDTeacher=WRN-40-2, Student=ShuffleNet-V12025.0556.7
CLIPBackbone=RN502026.0755.9
TACStudent Model=LCNet-35, Teacher Selection Metric=TAC2026.0555.2
CoCoOpBackbone=ViT-B/322026.0755.07
KDTeacher=ResNet32x4, Student=ShuffleNet-V12025.0553.75
StudentStudent=VGG82025.0553.34
AdaMergingBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Number of Merged Models=302024.0553.09
CoCoOpBackbone=RN502026.0750.83
REPAWay=5, Shot=52026.0350.2
X2023.0349.88
ProTextBackbone=RN502026.0749.08
Weight AveragingBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Number of Merged Models=302024.0547.8
Task ArithmeticBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Number of Merged Models=302024.0547.65
StudentStudent=MobileNet-V22025.0546.14
CEStudent Model=LCNet-35, Teacher Selection Metric=None (Cross-Entropy)2026.0543.9
RegMeanBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Number of Merged Models=302024.0542.89
StudentStudent=ShuffleNet-V12025.0539.4
FLUIDWay=5, Shot=52026.0338.9
MARWay=5, Shot=52026.0337.7
MGD3+EVLFBackbone=ConvNet-4, Pre-training Dataset=distilled ImageNet-1K subset (0.8x), Evaluation Protocol=Fine-tuning2026.0336.18
KRR-STBackbone=ConvNet-4, Pre-training Dataset=distilled ImageNet-1K subset (0.8x), Evaluation Protocol=Fine-tuning2026.0335.51
Ties-MergingBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Number of Merged Models=302024.0526.03
w/o preBackbone=ConvNet-4, Evaluation Protocol=Fine-tuning2026.0324.59
RandomBackbone=ConvNet-4, Evaluation Protocol=Fine-tuning2026.0323.08
FRePoBackbone=ConvNet-4, Pre-training Dataset=distilled ImageNet-1K subset (0.8x), Evaluation Protocol=Fine-tuning2026.0322.05