LSTM Is Back! A Deep Implementation of the Decades-old Architecture Challenges ViTs on Long Sequence Modelling

A research team from Rikkyo University and AnyTech Co., Ltd. examines the suitability of different inductive biases for computer vision and proposes Sequencer, an architectural alternative to ViTs that leverages long short-term memory (LSTM) rather than self-attention layers to achieve ViT-competitive performance on long sequence modelling.

ai architecture artificial intelligence challenges computer vision & graphics deep-neural-networks implementation lstm machine learning machine learning & data science ml modelling research technology