1adrianb / 1adrianb/binary-human-pose-estimation
how to extract multi-scale feature by using Fig.4e block?
- 主要語言
- Lua
- 星號
- 214
- 分支
- 67
- PR 合併指標
- 30 天內沒有已合併 PR
描述
hi,
I have a question about the final block.
In your paper, you mentioned multi-scale should be used in Fig.4e which is your final block. However, Fig.4e only contains 3x3 conv. It doesn't show any pooling or conv with stride operation. I can't understand how to extract multi-scale feature by using it. Could you explain more details about it? Thanks a lot.

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研究方向
The issue references Figure 4e from the paper and asks about multi-scale feature extraction. The repository contains Lua/Torch7 code for human pose estimation. To understand the implementation, examine the model architecture files (likely in the root or a models/ directory) for the final block. Look for convolutional layers, pooling, or stride operations. Compare the code to the paper's description. Determine if the figure is accurately implemented or if there's a discrepancy. Running the demo might help visualize the feature maps.
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評估
- 技術堆疊
- computer-vision, lua
- 領域
- computer-vision, machine-learning
- Issue 類型
- 文件
- 難度
- 4/5
- 預估耗時
- 3-5 天
- 活躍度
- 停滯
- 描述清晰度
- 需要釐清
- 新手友好度
- 35/100