Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image Classification

Benchmark Model Rank Results
multi-label-classification-on-ms-cocoMLD-TResNet-L-AAM[640x640]#3mAP: 91.30
multi-label-classification-on-nus-wideMLD-TResNet-L-AAM[448x448]#2MAP: 68.30
multi-label-classification-on-pascal-voc-2007MLD-TResNetL-AAM (resolution 448, pretrain from OpenImages V6)#4mAP: 96.70