1adrianb / 1adrianb/binary-human-pose-estimation
how to extract multi-scale feature by using Fig.4e block?
- Langage dominant
- Lua
- Étoiles
- 214
- Forks
- 67
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- Aucune PR mergée en 30 j
Description
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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Piste de recherche
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.
Rédigé par le modèle d'indexation à partir du texte de l'issue.
Évaluation
- Stack technique
- computer-vision, lua
- Domaine
- computer-vision, machine-learning
- Type d'issue
- Documentation
- Difficulté
- 4/5
- Temps estimé
- 3-5 jours
- Activité
- À l'abandon
- Clarté
- À clarifier
- Accessibilité débutants
- 35/100