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Multi-object Classification on MS-COCO

66.92Class-wise F1DiCENet
60.1661.91563.6765.425Jun 8, 2019

Evaluation results

MethodLinks
DiCENet# Params=5.1 M, # FLOPs=298 M, fine-tuning=true2019.0666.9273.41
ESPNetv2# Params=3.5 M, # FLOPs=284 M, fine-tuning=true2019.0663.4169.23
ShuffleNetv2# Params=3.5 M, # FLOPs=300 M, fine-tuning=true2019.0660.4267.58