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ResearchFormerly WizWand

Multi-label image classification on VG-500 (test)

43.1mAPML-Decoder + AAM
30.41233.7063740.294Aug 20, 2019Feb 22, 2020Aug 27, 2020Mar 2, 2021Sep 5, 2021Mar 11, 2022Sep 14, 2022
Updated 8mo ago

Evaluation results

MethodLinks
ML-Decoder + AAMBackbone=TResNet-L, Input resolution=576x576, GFLOPS=59.632022.0943.1
Q2LBackbone=TResNet-L, Input resolution=512x512, GFLOPS=119.372022.0942.5
ML-Decoder + AAMBackbone=EfficientNet-V2-s, Input resolution=576x576, GFLOPS=20.162022.0942
ML-DecoderBackbone=EfficientNet-V2-s, Input resolution=576x576, GFLOPS=20.16, Training strategy=Trained by current paper2022.0941.2
Q2LBackbone=EfficientNet-V2-s, Input resolution=576x576, GFLOPS=32.81, Training strategy=Trained by current paper2022.0940.35
ASLBackbone=EfficientNet-V2-s, Input resolution=576x576, GFLOPS=17.9, Training strategy=Trained by current paper2022.0938.84
C-TranBackbone=ResNet101, Input resolution=576x5762022.0938.4
SSGRLbackbone=ResNet-1012019.0836.6
ResNet-SRNbackbone=ResNet-1012019.0833.5
ResNet-101backbone=ResNet-1012019.0830.9