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Transformer in Transformer
[article]
2021
arXiv
pre-print
Transformer is a new kind of neural architecture which encodes the input data as powerful features via the attention mechanism. Basically, the visual transformers first divide the input images into several local patches and then calculate both representations and their relationship. Since natural images are of high complexity with abundant detail and color information, the granularity of the patch dividing is not fine enough for excavating features of objects in different scales and locations.
arXiv:2103.00112v3
fatcat:i42cw3eebraa5b4cm6axpkazge