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Zero-shot recognition on CUB (test)

65.4Top-1 Accuracy (ATT)ReViSE
30.45639.52848.657.672Mar 17, 2017

Evaluation results

MethodLinks
ReViSEEvaluation protocol=Transductive2017.0365.432.431.568.1—
ReViSE+Evaluation protocol=Transductive2017.0362.731.828.966.8—
ReViSE++Evaluation protocol=Transductive2017.0362.43027.565.8—
ReViSEEvaluation protocol=Inductive2017.0353.726.428.253.6—
SMS-ESZSLEvaluation protocol=Transductive2017.0352.334.732.361.6—
TMVEvaluation protocol=Transductive2017.0351.232.538.961.6—
ESZSLEvaluation protocol=Inductive2017.0350.333.434.154.1—
SJEEvaluation protocol=Inductive2017.0350.128.424.246.7—
SyncEvaluation protocol=Inductive2017.0348.731.232.852.4—
LatEmEvaluation protocol=Inductive2017.0345.531.832.551—
MTEEvaluation protocol=Inductive2017.0343.3————
CMT*Evaluation protocol=Transductive2017.0343.131.828.960.5—
CMTEvaluation protocol=Inductive2017.0342.429.625.750.5—
DeViSE*Evaluation protocol=Transductive2017.0341.431.626.960.6—
DeViSEEvaluation protocol=Inductive2017.0340.828.825.649.3—
SOCEvaluation protocol=Inductive2017.0334.730.930.645.6—
JLSEEvaluation protocol=Inductive2017.0333.72827.148.8—
ConSEEvaluation protocol=Inductive2017.0333.628.830.842.5—
SSEEvaluation protocol=Inductive2017.0331.827.925.445.6—
ALE2020.07————54.9
Baselineloss=cross-entropy2020.07————52.4
CuMix2020.07————60.4
GFZSL2020.07————49.3
SJE2020.07————53.9
SPNet2020.07————56.5
SYNC2020.07————56.3