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Image Classification on ImageNet-100-LT (test)

78Accuracy (Many)MAK
51.58458.44265.372.158Nov 1, 2021

Evaluation results

MethodLinks
MAKSampling dataset=IN900, Budget=20K, Protocol=linear separability2021.117873.472.42.475.1
MAKSampling dataset=IN900, Budget=10K, Protocol=linear separability2021.1176.170.869.3372.7
randomSampling dataset=IN900, Budget=20K, Protocol=linear separability2021.1175.771.869.62.673
MAKSampling dataset=IPM, Budget=10K, Protocol=linear separability2021.1174.769.266.63.371.1
randomSampling dataset=IN900, Budget=10K, Protocol=linear separability2021.1174.669.766.13.571.2
randomSampling dataset=IPM, Budget=10K, Protocol=linear separability2021.1173.867.965.13.669.8
K-centerSampling dataset=IN900, Budget=10K, Protocol=linear separability2021.1173.668.664.53.870
K-centerSampling dataset=IPM, Budget=10K, Protocol=linear separability2021.117367.765.43.269.5
NoneSampling dataset=None, Protocol=linear separability2021.1171.265.362.73.667.3
MAKSampling dataset=IN900, Budget=20K, Protocol=few-shot2021.115952.9503.854.9
MAKSampling dataset=IN900, Budget=10K, Protocol=few-shot2021.1157.448.946.34.851.9
randomSampling dataset=IN900, Budget=20K, Protocol=few-shot2021.1157.449.945.94.852.3
MAKSampling dataset=IPM, Budget=10K, Protocol=few-shot2021.1156.845.142.66.249.3
randomSampling dataset=IN900, Budget=10K, Protocol=few-shot2021.1156.648.643.75.351.1
randomSampling dataset=IPM, Budget=10K, Protocol=few-shot2021.1155.545.838.96.948.7
K-centerSampling dataset=IN900, Budget=10K, Protocol=few-shot2021.115545.839.16.548.5
K-centerSampling dataset=IPM, Budget=10K, Protocol=few-shot2021.1154.245.638.46.548
NoneSampling dataset=None, Protocol=few-shot2021.1152.640.532.58.344.2