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ResearchFormerly WizWand

Image Classification on Pascal VOC 2007 (val)

96.7mAPML-Decoder + AAM
94.141694.805895.4796.1342Sep 14, 2022
Updated 8mo ago

Evaluation results

MethodLinks
ML-Decoder + AAMBackbone=TResNet-L, Input resolution=448x4482022.0996.735.78
GAT re-weightingBackbone=TResNet-L, Input resolution=448x4482022.0996.6735.2
ML-DecoderBackbone=TResNet-L, Input resolution=448x4482022.0996.635.78
GATNBackbone=ResNeXt-101, Input resolution=448x4482022.0996.336
Q2LBackbone=TResNet-L, Input resolution=448x4482022.0996.157.43
ML-Decoder + AAMBackbone=EfficientNet-V2-L, Input resolution=448x4482022.0996.0549.92
GAT re-weightingBackbone=EfficientNet-V2-s, Input resolution=448x4482022.099610.83
ML-Decoder + AAMBackbone=EfficientNet-V2-s, Input resolution=448x4482022.0995.8612
ML-DecoderBackbone=EfficientNet-V2-s, Input resolution=448x448, Training strategy=ours2022.0995.5412
ML-GCNBackbone=EfficientNet-V2-s, Input resolution=448x448, Training strategy=ours2022.0995.2510.83
Q2LBackbone=EfficientNet-V2-s, Input resolution=448x448, Training strategy=ours2022.0994.9415.4
ASLBackbone=TResNet-L, Input resolution=448x4482022.0994.643.5
ASLBackbone=EfficientNet-V2-s, Input resolution=448x448, Training strategy=ours2022.0994.2410.83