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您好,首先非常感谢您solid的工作。
但在我看具体代码时,有一些问题想要请教:
在 lvis1.0\mmdet\models\roi_heads\bbox_heads\convfc_bbox_head.py 文件中的 update_embed 函数里:
if self.training: # remove background with torch.no_grad(): fg_target = targets[gt_label > 0].clone().detach().mean(0, keepdim=True) self.causal_embed = self.MU * self.causal_embed + fg_target return
就我理解而言,这里是给滑动平均值加上了特征图的(fg_target)的数值,而非梯度值,与下图式中的 g_t 不符。请问是我对代码的理解有误吗?可否指正一下,非常感谢!
The text was updated successfully, but these errors were encountered:
我觉得这里的causal_embed 应该对应为论文的 你再看看论文
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您好,首先非常感谢您solid的工作。
但在我看具体代码时,有一些问题想要请教:
在 lvis1.0\mmdet\models\roi_heads\bbox_heads\convfc_bbox_head.py 文件中的 update_embed 函数里:
就我理解而言,这里是给滑动平均值加上了特征图的(fg_target)的数值,而非梯度值,与下图式中的 g_t 不符。请问是我对代码的理解有误吗?可否指正一下,非常感谢!
The text was updated successfully, but these errors were encountered: