Machine Learning · Aug 16, 2026
Revisiting the Efficient Channel Attention paper (2019, 12k citations) - the central hypothesis isn't quite right [D]
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ECA was positioned as a successor to SE . The idea behind ECA is quite simple. Unlike SE which reduces the channel means into a smaller hidden layer, it directly uses a 1d convolution kernel on the channel means themselves, avoiding the need for dimensionality reduction. The results are undeniable: ECA is a clear improvement over SE. The authors claim that cross-channel interaction is a key…
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