Comments (1)
对于第四个到第8 个hourglass模块而言,他的预测结果并不是传统的方式得到的
而是通过对f这个特征首先进行1x1卷积,得到sp,sp是一个1通道的featuremap,然后这个1通道的featuremap送到M内,得到attention map,\Phi_p(它也是1通道的),然后这个attention map乘以h_1^{att}(它不是1通道,比如256个通道的)得到经过对应于某个关节点的attention map得到的特征,然后再使用一个1x1卷积得到1通道的某个关节点的热力图。
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Related Issues (15)
- out of memory HOT 6
- Out of memory problem HOT 2
- what's the difference between pose and pose-int? HOT 1
- qlua HOT 3
- train HOT 1
- Few Doubt's in the model
- How to calculate PCKh in MPII Evaluation for predict-test results?
- Can you tell me what is the speed of this pose-attention? HOT 1
- A question in "pose-attention/train/models/layers/AttentionPartsCRF.lua" HOT 2
- test error! HOT 1
- Multi-Resolution Attention HOT 1
- About the batch size and the log. HOT 1
- test bug HOT 1
- Why the function 'postprocess' works? HOT 4
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