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The code and models for paper: "ScratchDet: Exploring to Train Single-Shot Object Detectors from Scratch"

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thanks for your great repo. I put **ssd300_scratchdet_coco.py** into folder of mmdetection/configs; put **ssd_root34_300.py** into mmdetection/mmdet/model/backbones, and put **ssdbn_head.py** into mmdetection/mmdet/model/anchor_heads. run **./tools/train.py configs/ssd300_scratchdet_coco.py**, there are some errors: **None is...

Hi, I meet some problem using your code. If I use 101 depth of SSDRES512, the output channel number of conv3 is 64, and after some Bottlenecks, the output channel...

Hi~I am reproducing your code using pytorch. And I have gained 76.3% with BN in the Backbone. It does improve accuracy. However, I am confused about the BN in the...

@KimSoybean HI 有几个疑问: 1. 在分析BN作用时,是基于SSD+VGG16.能不能这么认为,只要是一个包含了BN层的网络,将其作为detector的底层网络时,该detector都可以train from scratch? 2. 4.1节指出:remove the L2 Normalization.是不是因为BN层的存在可以代替这个L2 Normalization?

According to your paper, BN plays a critical role training from scratch. Did you try Group Normalization ? Does Group Normalization have better perfomance than some pretrained ones. According your...

@KimSoybean Thank you very much for sharing the code Can you give me more details?

@foralliance Hi!I think we should speak English because your questions may help the people in other countries. 1. No. When you train the model with large input image size (e.g.,...