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About decomposed large kernel DWConv
I found similar decompose idea from SegNeXt. In that paper, authors stated that: "On the other hand, there are some strip-like objects, such as human and telephone pole in the segmentation scenes. Thus, strip convolution can be a complement of grid convolutions and helps extract strip-like features". Do you find similar phenomenon on downstream task? Can you visualize if a InceptionNeXt block capture strip-like features? I tried using this strip convolution idea in semantic segmentation task but didn't find any success :cry: