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Image Classification on VLCS (Domain Specific Metrics)

99.78Accuracy (Caltech101)CoDoL
45.866459.863273.8687.8568Sep 18, 2025Nov 3, 2025Dec 19, 2025Feb 3, 2026Mar 21, 2026May 6, 2026Jun 21, 2026

Evaluation results

MethodLinks
CoDoLBackbone=ViT-B/16, Pre-trained=CLIP2025.0999.7878.9688.6286.8588.5593.66
CoDoLBackbone=RN50, Pre-trained=CLIP2025.0999.7675.8786.5783.8186.590.51
StyLIPBackbone=ViT-B/16, Pre-trained=CLIP2025.0999.4675.686.7285.9986.9492.5
ProGradBackbone=ViT-B/16, Pre-trained=CLIP2025.0999.4171.383.0981.583.8290.16
DPLBackbone=ViT-B/16, Pre-trained=CLIP2025.0999.2471.2183.4582.0583.9990.53
CoCoOpBackbone=ViT-B/16, Pre-trained=CLIP2025.0999.2272.2484.7978.183.5990.16
Lin. ProbingBackbone=ViT-B/16, Pre-trained=CLIP, Evaluation Protocol=Linear Probing2025.0999.2168.1283.6279.5782.6389.59
TPTBackbone=ViT-B/16, Pre-trained=CLIP2025.0999.271.0583.281.4483.7291.46
CoDoL w/ CMNBackbone=ViT-B/16, Pre-trained=CLIP2025.0999.1377.8988.0486.4587.8892.98
StyLIPBackbone=RN50, Pre-trained=CLIP2025.0999.1173.2584.1882.884.8389.21
CoDoL w/ CMNBackbone=RN50, Pre-trained=CLIP2025.0999.174.285.7882.185.389.48
ProGradBackbone=RN50, Pre-trained=CLIP2025.0999.0770.0981.2278.4282.2387.12
TPTBackbone=RN50, Pre-trained=CLIP2025.0999.0670.8781.4178.2282.3987.28
CoCoOpBackbone=RN50, Pre-trained=CLIP2025.0999.0368.581.7679.982.386.97
CLIP-Adapt.Backbone=RN50, Pre-trained=CLIP2025.0999.0370.8481.2278.3182.3587.22
Lin. ProbingBackbone=RN50, Pre-trained=CLIP, Evaluation Protocol=Linear Probing2025.0998.9663.3779.276.3979.4885.57
DPLBackbone=RN50, Pre-trained=CLIP2025.0998.9470.518178.0182.1287.04
CoOpBackbone=RN50, Pre-trained=CLIP2025.0998.9267.9581.0479.5581.8787.08
CORALBackbone=RN50, Pre-trained=ImageNet2025.0998.864.671.775.877.7381.86
CLIP-Adapt.Backbone=ViT-B/16, Pre-trained=CLIP2025.0998.5970.784.6483.3584.3290.37
CoDoL w/o DMNBackbone=RN50, Pre-trained=CLIP2025.0998.5672.3483.6780.9783.8988
CoOpBackbone=ViT-B/16, Pre-trained=CLIP2025.0998.5267.7884.0581.5982.9890
DANNBackbone=RN50, Pre-trained=ImageNet2025.0998.564.973.178.378.781.68
CLIPBackbone=ViT-B/16, Pre-trained=CLIP2025.0998.568.7980.8374.1680.5788.19
CoDoL w/o DMNBackbone=ViT-B/16, Pre-trained=CLIP2025.0998.0175.3186.1285.4386.2291.65
ERMBackbone=RN50, Pre-trained=ImageNet2025.0997.663.372.276.477.3881.56
IRMBackbone=RN50, Pre-trained=ImageNet2025.0997.66572.976.978.181.28
DeviationData Removal Protocol=discard 50% highest values, Retained Training Data Percentage=50%2025.1097.3162.168.1273.48——
LAVAData Removal Protocol=discard 50% highest values, Retained Training Data Percentage=50%2025.1097.1763.2375.6872.15——
MMDBackbone=RN50, Pre-trained=ImageNet2025.0997.163.471.474.976.780.83
InfluenceFunctionData Removal Protocol=discard 50% highest values, Retained Training Data Percentage=50%2025.1096.9662.3670.8167.97——
CLIPBackbone=RN50, Pre-trained=CLIP2025.0996.0661.4576.6371.5676.4383.38
RandomData Removal Protocol=discard 50% highest values, Retained Training Data Percentage=50%2025.1095.963.4269.5672.33——
TSDAttack Rate (%)=0%2026.0695.6463.7767.1466.44——
ERMAttack Rate (%)=0%2026.0695.2764.7668.9672.27——
TSD+SAFERAttack Rate (%)=0%2026.0694.6164.1266.7258.51——
TSD+SAFER-AAttack Rate (%)=0%2026.0694.4963.8369.3760.2——
EV + LAVAData Removal Protocol=discard 50% highest values, Retained Training Data Percentage=50%2025.1093.7862.4849.670.17——
KNN ShapleyData Removal Protocol=discard 50% highest values, Retained Training Data Percentage=50%2025.1092.5759.0455.8552.39——
PLAttack Rate (%)=0%2026.0690.6265.5965.668.02——
PL+SAFER-AAttack Rate (%)=0%2026.0688.8162.4655.1362.99——
Tent+SAFER-AAttack Rate (%)=0%2026.0687.9265.8964.4667.57——
TentAttack Rate (%)=0%2026.0687.5962.4465.9972.62——
PL+SAFERAttack Rate (%)=0%2026.0687.4961.6650.9864.72——
Tent+SAFERAttack Rate (%)=0%2026.0687.0262.4261.0867.03——
EV + KNN ShapleyData Removal Protocol=discard 50% highest values, Retained Training Data Percentage=50%2025.1085.8658.1449.0852.19——
Tent+MedBNAttack Rate (%)=0%2026.0685.8462.0964.0471.38——
TSD+SAFERAttack Rate (%)=100%2026.0684.7156.9442.9248.3——
PL+SAFERAttack Rate (%)=100%2026.0684.3153.8241.353.92——
Tent+SAFERAttack Rate (%)=100%2026.0683.6756.7648.2159.73——
TeSLAAttack Rate (%)=0%2026.0682.5459.661.8472.02——
EATAAttack Rate (%)=0%2026.0682.3859.561.9571.03——
Data-OOBData Removal Protocol=discard 50% highest values, Retained Training Data Percentage=50%2025.1076.1862.762.9456.72——
TSD+SAFER-AAttack Rate (%)=100%2026.0675.8151.5136.2348.75——
EV + Data-OOBData Removal Protocol=discard 50% highest values, Retained Training Data Percentage=50%2025.1075.462.4862.7956.54——
Tent+SAFER-AAttack Rate (%)=100%2026.0673.2642.3233.9948.84——
PL+SAFER-AAttack Rate (%)=100%2026.0672.0845.6836.6251.55——
TeSLAAttack Rate (%)=100%2026.0663.8640.5136.2546.26——
Robust ERMAttack Rate (%)=0%2026.0661.5153.6143.748.68——
Robust ERMAttack Rate (%)=100%2026.0661.4853.6943.6548.52——
TentAttack Rate (%)=100%2026.0653.815.959.1821.45——
PLAttack Rate (%)=100%2026.0652.254.464.720.44——
Tent+MedBNAttack Rate (%)=100%2026.0650.4419.9911.3520.16——
ERMAttack Rate (%)=100%2026.0649.6320.367.338.71——
TSDAttack Rate (%)=100%2026.0648.628.362.5113.57——
EATAAttack Rate (%)=100%2026.0647.9420.3913.8422.1——