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Multi-label Image Classification on MS-COCO 2014 (test)

75.3F1 Score (Top-3)MCAR
59.80463.82767.8571.873Dec 17, 2019Jan 19, 2020Feb 21, 2020Mar 25, 2020Apr 27, 2020May 30, 2020Jul 3, 2020

Evaluation results

MethodLinks
MCARInput Size=576x576, Backbone=ResNet-1012020.0775.384.584.373.978.786.976.181.187.865.990.467.177
MCARInput Size=448x448, Backbone=ResNet-1012020.0775.183.88572.1788873.980.388.165.59166.376.7
MS-CMAbackbone=ResNet-101, multi-scale=true2019.1274.983.882.974.478.484.477.98188.26590.267.477.1
CMAbackbone=ResNet-1012019.1274.383.483.472.977.886.876.380.986.764.990.967.277.2
ML-GCNyear=20192019.1274.282.482.173.177.383.776.379.987.264.689.166.776.3
SSGRLInput Size=448x448, Backbone=ResNet-101, reproduced=true2020.0773.581.984.270.376.685.872.478.68863.190.264.575.2
SSGRLInput Size=576x576, Backbone=ResNet-1012020.0772.783.889.968.576.891.370.879.791.962.593.864.176.2
MCARInput Size=288x288, Backbone=ResNet-1012020.0772.480.581.869.27584.972.27885.862.688.964.774.9
Multi-Evidenceyear=20182019.1270.6—80.470.274.985.272.578.484.562.289.164.374.7
Multi-EvidenceInput Size=448x448, Backbone=ResNet-1012020.0770.6—80.470.274.985.272.578.484.562.289.164.374.7
BaselineInput Size=448x448, Backbone=ResNet-1012020.0769.977.172.772.372.577.475.576.577.863.58465.573.6
ResNet-101Input Size=448x448, Backbone=ResNet-1012020.0769.5—73.872.972.877.575.176.378.363.783.864.973.1
ML-ZSLyear=20182019.1269———————74.164.5———
ML-ZSLBackbone=ResNet-1522020.0769———————74.164.5———
ACfsInput Size=288x288, Backbone=ResNet-1012020.076877.577.468.372.279.873.176.385.259.486.663.373.1
Order-Free RNNBackbone=ResNet-1522020.0767.7—71.654.862.1———74.262.2———
RNN-Attentionyear=20172019.1267.4———————79.158.7846372
SRNyear=20172019.1267.477.181.665.471.282.769.975.885.258.887.462.572.9
RDALBackbone=VGG162020.0767.4———————79.158.7846372
SRNInput Size=224x224, Backbone=ResNet-1012020.0767.477.181.665.471.282.769.975.885.258.887.462.572.9
S-CLsyear=20182019.1266.874.6——69.2——74————72.7
Order-Free RNNyear=20182019.1262.1———————71.654.874.262.267.7
CNN-RNNyear=20162019.1260.461.2——————6655.669.266.467.8
CNN-RNNBackbone=VGG162020.0760.461.2——————6655.669.266.467.8
CNN-LSEPyear=20172019.12——73.556.462.976.361.868.3—————
CNN-SREL-RNNyear=20172019.12——67.459.863.476.668.772.4—————
PLAInput Size=288x288, Backbone=ResNet-1012020.07——80.468.974.281.573.377.1—————