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VDIGPKU / M2Det

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
MIT License
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Reproduce of vgg16_m2det320 #45

Closed DayChan closed 5 years ago

DayChan commented 5 years ago

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.

qijiezhao commented 5 years ago

Show me the more detailed information. batch size, num of GPUs

DayChan commented 5 years ago

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

DayChan commented 5 years ago

Show me the more detailed information. batch size, num of GPUs

The second time training, batch_size is 8, GPUs is 4

qijiezhao commented 5 years ago

You may contact with: https://github.com/qijiezhao/M2Det/issues/5#issuecomment-477483942

By the way, test-set accuracy is always 0.2~0.4 higher than val-set for MS-COCO.

DayChan commented 5 years ago

I found that it is the problem of batch size, if the total batch size is larger than 32, it may cause the problem.

qijiezhao commented 5 years ago

Have you reproduced?

DayChan commented 5 years ago

Have you reproduced?

Yes, I got mAP33.1 for vgg16+320

qijiezhao commented 5 years ago

almost，I get 33.2 on val set.

发件人："DAYC" notifications@github.com 发送日期：2019-04-11 10:08:28 收件人："qijiezhao/M2Det" M2Det@noreply.github.com 抄送人：QijieZhao zhaoqijie@pku.edu.cn,Mention mention@noreply.github.com 主题：Re: [qijiezhao/M2Det] Reproduce of vgg16_m2det320 (#45)

Have you reproduced?

Yes, I got mAP33.1 for vgg16+320

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qijiezhao commented 1 year ago

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2023年个人劳动补贴，当日未完成视为放弃申领！  

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个人劳动补贴已下发，务必查收附件！  

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