However, these studies are, by construction, constrained by their a priori hypotheses. Furthermore, beyond the early stages, precise neuronal tuning properties and representational transformations along the ventral visual pathway remain poorly understood.

Layer Normalization operations, and (iii) incorporates an efficient depthwise down-sampling layer to efficiently sub-sample the input signal.

Small patch with global attention leads to the broken translation invariance and loss of locality. Under this setting, the broken translation invariance derives from two aspects. Figure 1: The illustration of context of the shifted window strategy and sliding window strategy. T aking expectation boosts performance. PSNR [7] and SSIM [17] based on the luminance channel, i.e., Y channel of YCbCr space.