SENet is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named SENet among their alternatives. The relationship is not symmetric — how SENet rates them is a separate judgement, made when SENet is analysed in its own right.
calls SENet “Original Caffe/CUDA SE-Net implementation; choose it if your stack is Caffe rather than PyTorch.”
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐