Reproduce of vgg16_m2det320
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I tried to reproduce the result of vgg16_m2det320 twice,
the first time I used the setting in the paper:
lr = [0.002, 0.0002, 0.00002, 0.00002]
COCO = [6, 90, 120, 150]
the second time I used your new setting:
lr = [0.004, 0.002, 0.0004, 0.00004, 0.000004]
COCO = [90, 110, 130, 150, 160]
But both time I got mAP of 22.2, I don't know why.
Show me the more detailed information. batch size, num of GPUs
Show me the more detailed information. batch size, num of GPUs
@qijiezhao The first time, batch_size is 8 and num of GPUS is 7
Show me the more detailed information. batch size, num of GPUs
The second time training, batch_size is 8, GPUs is 4
You may contact with: #5 (comment)
By the way, test-set accuracy is always 0.2~0.4 higher than val-set for MS-COCO.
I found that it is the problem of batch size, if the total batch size is larger than 32, it may cause the problem.
Have you reproduced?
Have you reproduced?
Yes, I got mAP33.1 for vgg16+320