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train VGG-SSD from scratch get a better result

Open ujsyehao opened this issue 6 years ago • 1 comments

Hi, I follow your experiment setting, train VGG-SSD from scratch(no pretraining, no BN in the backbone, no BN in the head), use the following hyper param(caffe):

  • train batch size: 32, iter: 1, test batch size: 8
  • base_lr: 0.001
  • max_iter: 120000
  • type: SDG
  • weight_decay: 0.0005
  • gamma: 0.1

At 110k iterations, I get 68.8% mAP, It is higher than 67.6% mAP(paper reported).

ujsyehao avatar Apr 04 '19 12:04 ujsyehao

Can your share your VGG-SSD code with me? there is some problems with the code which i want to repeat,

CHKswiftly avatar Apr 23 '19 06:04 CHKswiftly