Transcription of A Survey of Visual Transformers
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A Survey of Visual Transformers
1. A Survey of Visual Transformers Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang? , Zhongchao Shi? , Jianping Fan, Zhiqiang He? Abstract Transformer, an attention-based encoder-decoder the Bidirectional Encoder Representations from Transformers model, has already revolutionized the field of natural language (BERT) [5] and its variants [6], [7] serve as auto-encoder processing (NLP). Inspired by such significant achievements, language models built on the Transformer encoders. some pioneering works have recently been done on employing Transformer-liked architectures in the computer vision (CV) In the CV field, prior to the Visual Transformers , Con- field, which have demonstrated their effectiveness on three fun- volution Neural Networks (CNNs) have emerged as a dom- [ ] 2 May 2022.
visual Transformers for three fundamental CV tasks (classifi-cation, detection, and segmentation), where a taxonomy is pro- ... As an essential component of Transformer, the attention mechanism can be grouped into two parts. 1) A transformation ... are linear matrices, dkis dimension of the query and key, and dv is dimension of the value. The ...
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