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ResearchFormerly WizWand

Image Classification on Food-101N (test)

93.42Top-1 AccuracyLRA-diffusion
66.151273.230680.3187.3894Aug 27, 2020Aug 10, 2021Jul 24, 2022Jul 7, 2023Jun 19, 2024Jun 2, 2025May 17, 2026
Updated 5mo ago

Evaluation results

MethodLinks
LRA-diffusionencoder=CLIP2023.0593.42
SCC (Mixup+GBA)trained from scratch=true, regularization=Mixup, GBA=true2020.0887.55
SOMNetImageNet pretrained=true2020.0887.5
SCC (Mixup)trained from scratch=true, regularization=Mixup2020.0887.43
LongReMixTraining protocol=from pre-trained2021.0387.39
LongReMix2023.0587.39
DivideMixTraining protocol=from pre-trained2021.0386.91
Jigsaw-ViTBackbone=DeiT-Small/16, Number of parameters=22M, FLOPs=4.6G2022.0786.7
RTEBackbone=ResNet-502021.0986.46
VRIBackbone=ResNet-50, Pre-trained=ImageNet2026.0386.24
CoDisBackbone=ResNet-50, Pre-trained=ImageNet2026.0386.13
Initial Mixup Modeltrained from scratch=true, regularization=Mixup2020.0886
WarPIBackbone=ResNet-50, Pre-trained=ImageNet2026.0385.91
WarPIBackbone=ResNet-50, Number of parameters=25.6M, FLOPs=4G2022.0785.9
ELR+Backbone=ResNet-50, Pre-trained=ImageNet2026.0385.77
SCC (Vanilla+GBA)trained from scratch=true, regularization=Vanilla, GBA=true2020.0885.76
PLCBackbone=ResNet-50, Number of parameters=25.6M, FLOPs=4G2022.0785.3
PLCBackbone=ResNet-50, Pre-training=ImageNet, Trials=32021.0385.28
PLC2021.0685.28
PLC2023.0585.28
PLCBackbone=ResNet-50, Pre-trained=ImageNet2026.0385.28
NRankBackbone=ResNet-50, Number of parameters=25.6M, FLOPs=4G2022.0785.2
NRankBackbone=ResNet-50, Pre-trained=ImageNet2026.0385.2
Deep Self-LearningImageNet pretrained=true2020.0885.11
Deep Self LearningBackbone=ResNet-502021.0985.11
SMPBackbone=ResNet-50, Pre-trained=ImageNet2026.0385.11
DeepSelfTraining protocol=from pre-trained2021.0385.1
SMPBackbone=ResNet-50, Number of parameters=25.6M, FLOPs=4G2022.0785.1
DeepSelf2023.0585.1
MetaCleanerImageNet pretrained=false2020.0885.05
SCC (Vanilla)trained from scratch=true, regularization=Vanilla2020.0884.87
MWNetBackbone=ResNet-50, Pre-trained=ImageNet2026.0384.72
MWNetBackbone=ResNet-50, Number of parameters=25.6M, FLOPs=4G2022.0784.7
Guidance LearningImageNet pretrained=true2020.0884.2
DeiT-Small/16Backbone=DeiT-Small/16, Number of parameters=22M, FLOPs=4.6G2022.0784.2
BAREBatch-balance=false2021.0684.12
BARE2023.0584.12
Initial Vanilla Modeltrained from scratch=true2020.0884.08
CleanNetImageNet pretrained=true2020.0883.95
CleanNetBackbone=ResNet-50, Pre-training=ImageNet2021.0383.95
CleanNet (soft)Backbone=ResNet-502021.0983.95
CleanNet2021.0583.95
CleanNetTraining protocol=from pre-trained2021.0383.95
CleanNet2021.0683.95
CleanNet2023.0583.95
CleanNetBackbone=ResNet-50, Number of parameters=25.6M, FLOPs=4G2022.0783.5
CleanNet (hard)Backbone=ResNet-502021.0983.47
CNethBackbone=ResNet-50, Pre-trained=ImageNet2026.0383.47
CEBackbone=ResNet-50, Number of parameters=25.6M, FLOPs=4G2022.0781.7
StandardBackbone=ResNet-50, Pre-training=ImageNet2021.0381.67
CE2021.0581.67
CCEvariant=standard2021.0681.67
Standard2023.0581.67
Base ModelBackbone=ResNet-50, Pre-trained=ImageNet2026.0381.67
BaselineBackbone=ResNet-502021.0981.44
Cross-EntropyTraining protocol=from pre-trained2021.0381.44
LongReMixTraining protocol=from scratch2021.0378.57
RGC2026.0578.5
DivideMixTraining protocol=from scratch2021.0375.53
IDORef.=NeurIPS252026.0574.4
EarlyCutRef.=NeurIPS252026.0572.1
DCDRef.=ICCV252026.0571.2
PSSCLRef.=PR252026.0570.7
UNICONRef.=CVPR222026.0570.4
ProMixRef.=IJCAI232026.0570.1
RRLRef.=ICCV212026.0569.7
L2BRef.=CVPR242026.0568.9
LongReMixRef.=PR232026.0568.7
DivideMixRef.=ICLR202026.0567.2