A survey that taxonomizes non-Transformer vision models and evaluates their practical trade-offs across efficiency, scalability, and robustness.
Combining recur- rent, convolutional, and continuous-time models with linear state space layers.Advances in neural information process- ing systems, 34:572–585, 2021
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Attention Is not Everything: Efficient Alternatives for Vision
A survey that taxonomizes non-Transformer vision models and evaluates their practical trade-offs across efficiency, scalability, and robustness.