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Multi-label recognition on MS-COCO (val)

81.5F1 Score (All)PLA
46.55655.62864.773.772Oct 10, 2021Nov 17, 2021Dec 25, 2021Feb 1, 2022Mar 11, 2022Apr 18, 2022May 26, 2022

Evaluation results

MethodLinks
PLAtraining resolution=288, testing resolution=2882021.1081.580.468.974.273.377.2———————
Transformer-based Dual Relation Graphtraining resolution=576, testing resolution=5762021.1080.4868774.787.577.982.490.765.676.291.96878.1
ADD-GCNtraining resolution=448, testing resolution=5762021.1080.185.284.775.984.979.48288.866.275.890.368.577.9
Transformer-based Dual Relation Graphtraining resolution=448, testing resolution=5762021.1080.185.887.973.687.977.382.391.364.875.89267.677.9
C-Trantraining resolution=576, testing resolution=5762021.1079.985.186.374.387.776.581.790.165.77692.171.477.6
Transformer-based Dual Relation Graphtraining resolution=448, testing resolution=4482021.107984.68673.186.676.481.289.964.47591.26777.2
ML-GCNtraining resolution=448, testing resolution=4482021.10788385.17285.875.480.389.264.174.690.566.576.7
KSSNettraining resolution=448, testing resolution=4482021.1077.283.784.673.287.876.281.5——————
SSGRLtraining resolution=576, testing resolution=5762021.1076.883.889.968.591.370.879.791.962.572.793.864.176.2
ResNet-101 (ours implementation)training resolution=448, testing resolution=4482021.107378.682.465.58670.477.485.958.669.790.562.874.1
DSRBBackbone=ResNet-101, Resolution=448x4482022.0572.7—————76.8——————
SRNtraining resolution=224, testing resolution=2242021.1071.277.181.665.482.769.975.885.258.867.487.462.572.9
KGGRBackbone=ResNet-101, Resolution=448x4482022.0569.7—————73.7——————
Partial BCEBackbone=ResNet-101, Resolution=448x4482022.0568.8—————74——————
GCN-MLBackbone=ResNet-101, Resolution=448x4482022.0568.4—————73.1——————
SSGRLBackbone=ResNet-101, Resolution=448x4482022.0568.1—————73.9——————
CLBackbone=ResNet-101, Resolution=448x4482022.0548.3—————61.9——————
ASLBackbone=ResNet-101, Resolution=448x4482022.0547.9—————46.7——————
CNN-RNN2021.10—61.2—————6655.660.469.266.467.8
Order-Free RNN2021.10———————71.654.862.174.262.267.7
RNN-Attention2021.10———————79.158.767.4846372
TaI promptingDPT=false, Zero-shot=true2022.11—61.1———————————
TaI-DPTDPT=true, Zero-shot=true2022.11—65.1———————————
ZSCLIPDPT=false, Zero-shot=true2022.11—47.3———————————
ZSCLIPDPT=true, Zero-shot=true2022.11—49.7———————————