1adrianb / 1adrianb/binary-face-alignment
The result of my training is very poor,why?
- 主要語言
- Lua
- 星號
- 147
- 分支
- 43
- PR 合併指標
- 30 天內沒有已合併 PR
描述
Hello, I tried to train the binary network in the way of the paper XNOR-Net (https://github.com/allenai/XNOR-Net), however, the training result is very poor, the structure of my model is the same as the pretrained model you give ,and the training parameters are based on the parameters given in the paper. I used BCECriterion, the loss is always around 0.027 when i trained more then 47 epoch, it doesn't drop anymore, and the prediction is poor too. I‘m very confused why the result is so poor ,could you tell me some training details? Thank you very much!
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研究方向
The issue references training a binary network using XNOR-Net methodology with poor results. Examine the training scripts and model definitions in the repository to understand the binary convolution implementation. Check loss computation with BCECriterion and compare hyperparameters against the paper. Running existing training tests or examples may help reproduce the issue.
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評估
- 技術堆疊
- computer-vision, lua
- 領域
- computer-vision, machine-learning
- Issue 類型
- 缺陷
- 難度
- 4/5
- 預估耗時
- 一週以上
- 活躍度
- 停滯
- 描述清晰度
- 需要釐清
- 新手友好度
- 20/100