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Image Classification on DTD

88.9Accuracy

iSICE

Updated 18d ago

Evaluation Results

Method
iSICE 2023.04	88.9	-	-	-	-	-	-	-
iSICE 2023.04	88.3	-	-	-	-	-	-	-
Precision Ω 2023.04	86.5	-	-	-	-	-	-	-
DeepCOV 2023.04	86.3	-	-	-	-	-	-	-
DeepKSPD 2023.04	86.3	-	-	-	-	-	-	-
iSQRT-COV 2023.04	86.1	-	-	-	-	-	-	-
Florence-CoSwin-H 2021.11	86	-	-	-	-	-	-	-
iSQRT-COV 2023.04	84.7	-	-	-	-	-	-	-
DeepCOV-ResNet 2023.04	84.6	-	-	-	-	-	-	-
BCNN 2023.04	84	-	-	-	-	-	-	-
CBP 2023.04	84	-	-	-	-	-	-	-
Precision Ω 2023.04	83.9	-	-	-	-	-	-	-
Multiple models 2022.08	83.7	-	-	-	-	-	-	-
Joint patching 2022.08	83.6	-	-	-	-	-	-	-
CLIP-ViT-L/14 2021.11	83	-	-	-	-	-	-	-
EfficientNet-L2 2021.11	82.5	-	-	-	-	-	-	-
Multiple models 2022.08	82.3	-	-	-	-	-	-	-
CLIP-ResNet-50x64 2021.11	82	-	-	-	-	-	-	-
SimCLRv2 2021.11	80.5	-	-	-	-	-	-	-
Precision Ω 2023.04	80.1	-	-	-	-	-	-	-
X-FM_base 2023.01	80	-	-	-	-	-	-	-
iSICE 2023.04	79.8	-	-	-	-	-	-	-
Joint patching 2022.08	79.5	-	-	-	-	-	-	-
iSQRT-COV 2023.04	79.4	-	-	-	-	-	-	-
PyramidCLIP 2022.04	79.3	-	-	-	-	-	-	-
NNCLR 2021.04	79.2	-	-	-	-	-	-	-
CLIP* 2022.04	79.2	-	-	-	-	-	-	-
CLIP 2023.01	79.2	-	-	-	-	-	-	-
SimCLR 2020.02	78.9	-	-	-	-	-	-	-
Supervised 2020.02	78.8	-	-	-	-	-	-	-
Supervised 2020.02	78.7	-	-	-	-	-	-	-
Multiple models 2022.08	78.7	-	-	-	-	-	-	-
iSICE 2023.04	78.7	-	-	-	-	-	-	-
DaVinci 2023.01	78.3	-	-	-	-	-	-	-
NNCLR + Sup 2021.04	78.1	-	-	-	-	-	-	-
SimCLR 2020.02	77.8	-	-	-	-	-	-	-
NNCLR 2021.04	77.3	-	-	-	-	-	-	-
PyramidCLIP 2022.04	77.3	-	-	-	-	-	-	-
FLAVA 2023.01	77.3	-	-	-	-	-	-	-
Precision Ω 2023.04	76.9	-	-	-	-	-	-	-
CaCo 2022.03	76.8	-	-	-	-	-	-	-
DeCLIP 2022.04	76.8	-	-	-	-	-	-	-
TWIST 2021.10	76.6	-	-	-	-	-	-	-
SimCLR v2 2020.11	76.5	-	-	-	-	-	-	-
CLIP* 2022.04	76.5	-	-	-	-	-	-	-
Seq. patching 2022.08	76.5	-	-	-	-	-	-	-
TWIST 2021.10	76.4	-	-	-	-	-	-	-
CLIP 2022.04	76.4	-	-	-	-	-	-	-
FNC 2020.11	76.3	-	-	-	-	-	-	-
BYOL 2020.06	76.2	-	-	-	-	-	-	-
BYOL 2021.10	76.2	-	-	-	-	-	-	-
BYOL 2020.11	76.2	-	-	-	-	-	-	-
FNC 2020.11	76	-	-	-	-	-	-	-
Joint patching 2022.08	76	-	-	-	-	-	-	-
PyramidCLIP 2022.04	75.8	-	-	-	-	-	-	-
SimCLR (repro) 2020.06	75.7	-	-	-	-	-	-	-
SimCLR 2021.04	75.7	-	-	-	-	-	-	-
SimCLR 2021.04	75.7	-	-	-	-	-	-	-
SimCLR 2022.03	75.7	-	-	-	-	-	-	-
SimCLR 2022.03	75.7	-	-	-	-	-	-	-
iSQRT-COV 2023.04	75.7	-	-	-	-	-	-	-
BYOL 2020.06	75.5	-	-	-	-	-	-	-
BYOL 2021.04	75.5	-	-	-	-	-	-	-
NNCLR 2021.04	75.5	-	-	-	-	-	-	-
BYOL 2021.04	75.5	-	-	-	-	-	-	-
NNCLR 2021.04	75.5	-	-	-	-	-	-	-
BYOL 2021.10	75.5	-	-	-	-	-	-	-
BYOL 2020.11	75.5	-	-	-	-	-	-	-
BYOL 2022.03	75.5	-	-	-	-	-	-	-
AdCo + 2022.03	75.5	-	-	-	-	-	-	-
BYOL 2022.03	75.5	-	-	-	-	-	-	-
NNCLR 2022.03	75.5	-	-	-	-	-	-	-
SimCLR (repro) 2020.06	75.4	-	-	-	-	-	-	-
SimCLR 2021.10	75.4	-	-	-	-	-	-	-
Seq. patching 2022.08	75.4	-	-	-	-	-	-	-
iSICE 2023.04	75.4	-	-	-	-	-	-	-
Core-tuning 2021.02	75.37	-	-	-	-	-	-	-
Core-tuning 2021.02	75.37	-	-	-	-	-	-	-
SimMatch (10%) 2022.03	75.1	-	-	-	-	-	-	-
ViT-L/16 2021.11	75	-	-	-	-	-	-	-
Supervised 2020.02	74.9	-	-	-	-	-	-	-
Supervised-IN 2020.06	74.9	-	-	-	-	-	-	-
Sup.-IN 2021.04	74.9	-	-	-	-	-	-	-
Sup. IN 2021.04	74.9	-	-	-	-	-	-	-
SUP 2021.10	74.9	-	-	-	-	-	-	-
Supervised 2022.03	74.9	-	-	-	-	-	-	-
iSICE 2023.04	74.9	-	-	-	-	-	-	-
SimCLR v2 2020.11	74.7	-	-	-	-	-	-	-
iSICE 2023.04	74.7	-	-	-	-	-	-	-
Full data 2023.11	74.7	-	-	-	-	-	-	-
Supervised 2020.02	74.6	-	-	-	-	-	-	-
Supervised-IN 2020.06	74.6	-	-	-	-	-	-	-
SUP 2021.10	74.6	-	-	-	-	-	-	-
SimCLR 2020.02	74.5	-	-	-	-	-	-	-
SimCLR 2020.06	74.5	-	-	-	-	-	-	-
SimCLR 2021.10	74.5	-	-	-	-	-	-	-
SimCLR v1 2020.11	74.5	-	-	-	-	-	-	-
MoCo v2+ 2022.03	74.5	-	-	-	-	-	-	-
SL-CE-tuning 2021.02	74.4	-	-	-	-	-	-	-
SL-CE-tuning 2021.02	74.4	-	-	-	-	-	-	-

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