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Benchmarks

  • 🐶 means that model is initialized with imagenet pretrained weights.
  • Results are presented using the format of Rank1 (mAP) in the following tables.
  • CUHK03: detected, new protocol (767/700).
  • Classification layer is ignored when computing model size.

Image person reid

Model # param (M) Loss Market1501 CUHK03 DukeMTMC-reID MSMT17
ResNet50:dog: 23.5 xent 88.5 (71.3) 47.9 (46.8) 77.7 (58.8) 63.4 (34.2)
DenseNet121:dog: 7.0 xent 88.2 (69.2) 41.0 (40.1) 78.6 (58.5) 66.0 (34.6)
DenseNet121:dog: 7.0 htri 86.6 (70.8) - - -
DenseNet121:dog: 7.0 xent+htri 90.1 (74.0) - - -
ResNet50M:dog: 27.7 xent 89.0 (74.6) 55.4 (52.7) 81.0 (64.1) 64.6 (35.9)
NasnetMobile:dog: 4.2 xent 83.8 (64.9) 42.4 (42.4) 74.0 (53.7) 57.1 (30.2)
SqueezeNet 1.1 xent 72.2 (47.9) 26.9 (25.8) 58.8 (37.8) 30.6 (13.0)
MobileNetV2 2.2 xent 84.2 (65.8) 41.0 (40.3) 73.2 (52.5) 44.9 (21.1)
ShuffleNet 0.9 xent 80.0 (58.4) 31.9 (31.7) 69.3 (46.8) 39.6 (17.8)
HACNN 2.9 xent 90.6 (75.3) 48.0 (47.6) 80.7 (64.4) 61.8 (34.6)