Comments (2)
Hi! Yes, I didn't get the email you mentioned, maybe you sent it to the wrong person I guess. As for your question, yes we trained binarized backbone networks on ImageNet for our detector. For example, we follow Bi-Real Net's training strategy to train our Bi-Real-VGG/ResNet (first real-valued with relu activation, then clipping activation, finally binary activation & weights). The training takes a long time (about 2 days for one model), and I use a large batch size on 4 GPUs to stabilize the training of the binary backbones. Hope my answer can help you!
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Thank you for your quick reply!
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Related Issues (20)
- bidet测试效果不好 HOT 1
- loss为inf HOT 1
- test error HOT 1
- params HOT 3
- Vgg arch in SSD implementation is different from original vgg HOT 2
- 数据集划分问题 HOT 10
- 有关于模型在coco数据集上的表现 HOT 8
- 关于计算量和参数量 HOT 2
- 关于训练 HOT 2
- 关于二值化带来的参数缩减 HOT 4
- 关于检测头的二值化 HOT 6
- 关于检测头二值化问题的请教 HOT 7
- 关于faster rcnn的FPN HOT 1
- Resnet18的layer中存在未二值化的卷积 HOT 2
- 在其他数据集上训练 HOT 1
- faster rcnn训练路径
- VOC数据集结果复现
- IB准则
- None of the weights are binarized HOT 1
- 预训练 HOT 8
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