Local Self-Attention With Mixing Abstract Tokens for Urban Autonomous Driving
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DOI: 10.1109/tii.2025.3555982
Abstract: Although local self-attentions exhibit translation equivariance and locality similar to convolution, the model has limited receptive fields and weak modeling ability. The main reason is that self-attention is computed within nonoverlapped windows. To overcome this… read more here.
Keywords: information; abstract tokens; image; local self ... See more keywords