可以从训练集中进行小块采样,或者直接对整图的损失进行采样,所以有这个说法“Patchwise training is loss sampling”,本文[fcn]后来实验发现patchwise training 比起直接训练整幅图 并没有大的提升,但是训练花费的时间更多了,因此本文是整幅图训练。发布于 2021-02-19 16:51...
我理解的patchwise training是指对每一个感兴趣的像素，以它为中心取一个patch，然后输入网络，输出则为...
Cervical dysplasia diagnosis via visual investigation is a challenging problem. Recent approaches use deep learning techniques to extract features and require the downsampling of high-resolution cervical screening images to smaller sizes for training. Such a reduction may result in the loss of visual ...
First the input size of the model (ie. the number of input neurons) is reduced providing a global model with less parameters. And second, the training images are cut into small patches to feed the network. Besides requiring smaller architectures, the patch sampling strategy allows to enlarge ...
我理解的patchwise training是指对每一个感兴趣的像素，以它为中心取一个patch，然后输入网络，输出则为...
Such a distribution can be evaluated, also, from the ground truth samples considered for training (Figure 3). To handle the asymmetric nature of our dataset, we adopted a twofold strategy: first, we balanced the contribution of each class type in the loss function with respect to their ...