Statements (28)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Vision Transformer model
|
| gptkbp:architecture |
gptkb:transformation
|
| gptkbp:arXivID |
2101.11986
|
| gptkbp:author |
gptkb:Tao_Wang
gptkb:Thomas_Huang gptkb:Li_Yuan Jiehao Wang Qibin Hou Yujun Shi Yunpeng Chen Zhangyang Wang |
| gptkbp:citation |
arXiv preprint
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet |
| gptkbp:contribution |
better data efficiency
improved performance on ImageNet progressive tokenization for vision transformers reduced model size |
| gptkbp:designedFor |
image classification
|
| gptkbp:developedBy |
gptkb:Google_Research
|
| gptkbp:fullName |
Tokens-to-Token Vision Transformer
|
| https://www.w3.org/2000/01/rdf-schema#label |
T2T-ViT
|
| gptkbp:improves |
gptkb:ViT
|
| gptkbp:introducedIn |
2021
|
| gptkbp:publishedIn |
gptkb:arXiv
|
| gptkbp:repository |
https://github.com/yuanli2333/T2T-ViT
|
| gptkbp:uses |
Tokens-to-Token module
|
| gptkbp:bfsParent |
gptkb:Vision_Transformer
|
| gptkbp:bfsLayer |
6
|