weixiaolian21

> 您好，请问我在稀疏化训练的时候，precision逐渐从0增到0.5-0.6左右（第九个epoch），逐渐又开始下降到0.3，现在还在训练，不知道这种现象正常吗？或者稀疏化训练precision正常变化趋势是怎样的。（补充：我的数据集较大，有近两万张图片） 请问最后训练结果怎么样？我稀疏训练时也出现这个问题，recall值很高，但是pricision很低 只有0.3左右 能加个qq交流交流吗 我qq：462181979

> 训练过程如下 > > ``` > [Epoch 0/20, Batch 13/2302] [Losses: x 0.204015, y 0.214396, w 4.140403, h 1.606703, conf 30.286903, cls 0.171045, total 36.623466, recall: 0.00000, precision: 0.00000] >...

> https://github.com/WongKinYiu/PartialResidualNetworks/blob/master/cfg/yolov3-tiny-prn.cfg#L182 thanks for your reply. that's just make me confused shotcut layer in yolov3 can add two feature map, but it need two same dimension feature map. how to...

thanks a lot， I have another question. for example, In your paper, you add half of the feature maps to the next layer. > The PRN we propose is a...

In your new paper，CSPNET， you use a parameter γ to control the number of channels add to next layer，both the layer didn't use all the channels， how to change the...