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Image Classification on Food-101 (test)

93.1Accuracy

Finetune

Updated 1d ago

Evaluation Results

Method
Finetune 2022.08	93.1	-	-	-	-	-
Semi-ViT 2022.08	91.3	-	-	-	-	-
2SFS 2025.03	91.1	-	-	-	-	-
VLPCook 2022.12	89.14	-	-	-	-	-
ReLICv2 2022.01	88.7	-	-	-	-	-
BYOL 2022.01	88.5	-	-	-	-	-
Supervised-IN 2022.01	88.3	-	-	-	-	-
SimCLR 2022.01	88.2	-	-	-	-	-
GAMR 2026.05	87.4	-	-	-	-	-
Random Init 2022.01	86.9	-	-	-	-	-
SNSCL+ 2026.05	86.4	-	-	-	-	-
PSSCL 2026.05	86.4	-	-	-	-	-
R-Kalman 2026.01	86.2	-	-	-	-	-
LongReMix 2026.05	86.2	-	-	-	-	-
2SFS 2025.03	86.1	-	-	-	-	-
DivideMix 2026.05	85.9	-	-	-	-	-
WarPI 2026.05	85.9	-	-	-	-	-
RENG 2026.01	85.8	-	-	-	-	-
NGD 2026.01	85.4	-	-	-	-	-
SNSCL 2026.05	85.4	-	-	-	-	-
PLC 2026.05	85.3	-	-	-	-	-
AdamW 2026.01	85.2	-	-	-	-	-
NoiseRank 2026.05	85.2	-	-	-	-	-
SMP 2026.05	85.1	-	-	-	-	-
RING 2026.01	85	-	-	-	-	-
Finetune 2022.08	84.5	-	-	-	-	-
H-T (ViT) 2022.12	84.44	-	-	-	-	-
CleanNet 2026.05	83.5	-	-	-	-	-
Semi-ViT 2022.08	82.1	-	-	-	-	-
Standard CE 2026.05	81.4	-	-	-	-	-
ImageNet (ViT) 2022.12	80.99	-	-	-	-	-
2SFS 2025.03	80.8	-	-	-	-	-
ReLICv2 2022.01	80.6	-	-	-	-	-
Fully Supervised 2026.05	80.2	-	-	-	-	-
Sophia 2026.01	80	-	-	-	-	-
DnC 2022.01	78.7	-	-	-	-	-
ReLICv2 2022.01	78.3	-	-	-	-	-
Semi-AUM+Cutoff 2026.05	77.9	-	-	-	-	-
Semi-DUAL+Beta 2026.05	77.9	-	-	-	-	-
ReLICv2 2022.01	77.5	-	-	-	-	-
Fully Supervised 2026.05	77.5	-	-	-	-	-
ELFS (DINO) 2026.05	77.2	-	-	-	-	-
NNCLR 2022.01	76.7	-	-	-	-	-
ZCore 2026.05	76.7	-	-	-	-	-
Random 2026.05	76.6	-	-	-	-	-
Score Extrapolation 2026.05	76.3	-	-	-	-	-
SPRL 2026.05	76.1	-	-	-	-	-
BYOL 2022.01	75.3	-	-	-	-	-
ZENITH 2026.01	75.3	-	-	-	-	1.4
SPS 2026.01	73.9	-	-	-	-	1.33
Semi-AUM+Cutoff 2026.05	73.9	-	-	-	-	-
ELFS (Self-Encoder) 2026.05	73.7	-	-	-	-	-
Semi-DUAL+Beta 2026.05	73.4	-	-	-	-	-
BYOL 2022.01	73.3	-	-	-	-	-
LQA 2026.01	73.3	-	-	-	-	2.69
ELFS (DINO) 2026.05	73.3	-	-	-	-	-
Random 2026.05	72.9	-	-	-	-	-
DAdapt 2026.01	72.5	-	-	-	-	2.32
HamBR 2026.05	72.5	-	-	-	-	-
Supervised-IN 2022.01	72.3	-	-	-	-	-
ALIG 2026.01	72.3	-	-	-	-	0.68
Prototypicality 2026.05	72.3	-	-	-	-	-
ZCore 2026.05	72.1	-	-	-	-	-
Prodigy 2026.01	72	-	-	-	-	2.04
Score Extrapolation 2026.05	71.8	-	-	-	-	-
Fully Supervised 2026.05	71.3	-	-	-	-	-
PSSCL 2026.05	70.7	-	-	-	-	-
UNICON 2026.05	70.4	-	-	-	-	-
ProMix 2026.05	70.1	-	-	-	-	-
RRL 2026.05	69.7	-	-	-	-	-
L2B 2026.05	68.9	-	-	-	-	-
LongReMix 2026.05	68.7	-	-	-	-	-
SimCLR 2022.01	68.4	-	-	-	-	-
PAL 2026.01	68.4	-	-	-	-	0.85
DoWG 2026.01	68.1	-	-	-	-	1.39
DoG 2026.01	67.8	-	-	-	-	2.86
DivideMix 2026.05	67.2	-	-	-	-	-
Fully Supervised 2026.05	67.2	-	-	-	-	-
Semi-AUM+Cutoff 2026.05	67.2	-	-	-	-	-
Prototypicality 2026.05	66.9	-	-	-	-	-
Semi-DUAL+Beta 2026.05	66.3	-	-	-	-	-
ELFS (DINO) 2026.05	65.6	-	-	-	-	-
COCOB 2026.01	64.3	-	-	-	-	1.58
Random 2026.05	63.9	-	-	-	-	-
ZCore 2026.05	63.4	-	-	-	-	-
Score Extrapolation 2026.05	63.2	-	-	-	-	-
Semi-AUM+Cutoff 2026.05	63.1	-	-	-	-	-
ELFS (Self-Encoder) 2026.05	62.8	-	-	-	-	-
Semi-DUAL+Beta 2026.05	62.2	-	-	-	-	-
ELFS (DINO) 2026.05	61.1	-	-	-	-	-
Finetune 2022.08	60.9	-	-	-	-	-
ELFS (Self-Encoder) 2026.05	58.6	-	-	-	-	-
Score Extrapolation 2026.05	57.6	-	-	-	-	-
Prototypicality 2026.05	56.6	-	-	-	-	-
ZCore 2026.05	56.3	-	-	-	-	-
Random 2026.05	55.5	-	-	-	-	-
Fully Supervised 2026.05	55.3	-	-	-	-	-
ELFS (Self-Encoder) 2026.05	52.9	-	-	-	-	-
Semi-DUAL+Beta 2026.05	51.8	-	-	-	-	-
Semi-AUM+Cutoff 2026.05	51.2	-	-	-	-	-

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