PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers. (arXiv:2111.12710v2 [cs.CV] UPDATED)

This paper explores a better codebook for BERT pre-training of vision
transformers. The recent work BEiT successfully transfers BERT pre-training
from NLP to the vision field. It directly adopts one simple discrete VAE as the
visual tokenizer, but has not considered the semantic level of the resulting
visual tokens. By contrast, the discrete tokens in NLP field are naturally
highly semantic. This difference motivates us to learn a perceptual codebook.
And we surprisingly find one simple yet effective idea: enforcing …

arxiv bert cv training transformers vision