Fuse: The SKFF receives inputs from three parallel convolution streams carrying different scales of information. We first combine these multi-scale features using an element-wise sum, on which we apply Global Average Pooling (GAP) across the spatial dimension. Next, we apply a channel- downscaling convolution layer to generate a compact feature representation which passes through three parallel channel-upscaling convolution layers (one for each resolution stream) and provides us with three feature descriptors.