The third challenge relates to the point that an object-centric classifier calls for invariance to spatial transformations, inherently limiting the spatial reliability of a DCNN. One good way to mitigate this problem is to try using skip-layers to draw out a€?hyper-columna€? features from several network layers when processing the final segmentation outcome [21, 14] .
