pzSuen
pzSuen
 此处应该是: `inter_area=max((xi1-xi2)*(yi1-yi2),))` 因为存在两个box不相交的情况,简单取绝对值是错误的。
### Discussed in https://github.com/ContinualAI/avalanche/discussions/848 Originally posted by **pzSuen** December 10, 2021 I had run the code in "Putting All Together," but I found that the GPU is still occupying when...
Thank you for your fantastic work! I have some minor questions. It seems that the heatmaps you show in the paper are post-processed. First, the heatmaps you show are only...
Thanks for your code. I test my own model by the code you provide in `speed_test.py`, but I encounter this problem. https://github.com/youweiliang/evit/blob/97e58f610c51d4b74a070341739e41647dced32c/speed_test.py#L106 What's the reason for it? How to deal...
网络模块如下图:  训练集和验证集每个epoch的loss如下图:  还有一个疑问,老师,我想知道线性神经网络是否需要激活函数? 我本来打算用ReLU,但是发现不用效果反而更好。我看属性没有负的,而ReLU正半轴是一个Y=X,所以使用ReLU对结果应该不会造成影响的,但事实却不是。这是为什么呢? 多谢!