ScratchDet
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train VGG-SSD from scratch get a better result
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).
Can your share your VGG-SSD code with me? there is some problems with the code which i want to repeat,