Comments (8)
@Lkevin20 不同层的特征具有不同的感受野大小,从而提取不同尺度的信息。
from tood.
作者你好,请问这个空间概率图和空间特征图是如何学习得到的?如果没有TAL策略是不是这个TAP就没有效果?那么为什么说T型头是一个独立的模块,可以在没有TAL的情况下很好地工作?
from tood.
这个交互特征又是如何得到的呢?辛苦作者解答一下谢谢
from tood.
作者你好,请问这个空间概率图和空间特征图是如何学习得到的?如果没有TAL策略是不是这个TAP就没有效果?那么为什么说T型头是一个独立的模块,可以在没有TAL的情况下很好地工作?
- 空间概率图的获取可以参考#13
- 没有TAL策略,T-head/TAL也有一定的效果,具体可以参考论文Table 1的实验。而有了TAL策略,可以使得T-head/TAL更好地工作,取得更高的性能。
from tood.
这个交互特征又是如何得到的呢?辛苦作者解答一下谢谢
from tood.
但是论文中说道空间概率图和偏移图的学习是在TAL中实现的所以有点不理解,论文中原话为“where conv1 and conv3 are two 1×1 conv layers for dimen-
sion reduction. The learning of M and O is performed by using the proposed Task Alignment Learning (TAL) which will be described next.”
from tood.
但是论文中说道空间概率图和偏移图的学习是在TAL中实现的所以有点不理解,论文中原话为“where conv1 and conv3 are two 1×1 conv layers for dimen- sion reduction. The learning of M and O is performed by using the proposed Task Alignment Learning (TAL) which will be described next.”
没有TAL策略,模型也可以学习到对检测性能有一定提高的M和O,比如传统的检测器选择物体中心区域的anchor作为正样本,此时学习到的M和O能够提高物体中心区域anchor预测的分类和定位的精度。
而如果采用TAL策略,此时学习到的M和O能够提高aligned anchor预测的分类和定位的精度,进一步提高分类和定位的对齐。
因此,学习到怎样的M/O跟所采用的学习策略有关。在TOOD里,正是采用了TAL来学习更能提高分类和定位对齐的M和O。
from tood.
这个TAL的分配策略和损失函数是在M和O上执行的吗?在原本的分类(P)和回归(B)上有体现吗?
from tood.
Related Issues (20)
- If I want to load the resnet50-19c8e357.pth from my local path instead of downloading from the terminal,how can I change the code? HOT 2
- Error during training (Assertion input_val >= zero && input_val <= one failed.) HOT 6
- Support for Swin backbone
- Plot result HOT 10
- i changed the number of ratios, then model can not train ,where should i have to modify futher?
- How about the ATSS assigner as initial static assignment method? HOT 2
- RuntimeError
- the image size HOT 1
- Layer Attention instead of Channel Attention? HOT 5
- Tood's onnx file request HOT 3
- Benchmark / FPS
- 是否可以提供没有使用tap的tal训练config?
- TOOD
- Welcome update to OpenMMLab 2.0
- T-Head
- TAL样本分配策略与损失函数计算是否会造成网络输出的类别置信度偏低
- a little puzzled about the T-Head module HOT 1
- RuntimeError HOT 3
- Can I use it in two-stage method?
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from tood.