In this technique, instead of sliding, the final target is made into some targets required as depth and a number of boxes as the window. Sermanet et al. (https://arxiv.org/pdf/1312.6229.pdf) used fully convolution implementation to overcome this problem of the sliding window. Here is an illustration of such convolution implementation, of the sliding window:
Reproduced with permission from Sermanet et al.
In the upper part of the example, normal classification is represented as a fully convolutional layer. In the lower part of the illustration, the same kernel is applied to a bigger image producing ...
