25 citations · 58 across the 25 of their papers we have counts for
4 papers · 1 filter
The Devil in Linear Transformer
Zhen Qin, XiaoDong Han, Weixuan Sun +4
Linear transformers aim to reduce the quadratic space-time complexity of vanilla transformers. However, they usually suffer from degraded performances on various tasks and corpus.…
Linear Video Transformer with Feature Fixation
Kaiyue Lu, Zexiang Liu, Jianyuan Wang +8
Vision Transformers have achieved impressive performance in video classification, while suffering from the quadratic complexity caused by the Softmax attention mechanism. Some stud…
Neural Architecture Search on Efficient Transformers and Beyond
Zexiang Liu, Dong Li, Kaiyue Lu +4
Recently, numerous efficient Transformers have been proposed to reduce the quadratic computational complexity of standard Transformers caused by the Softmax attention. However, mos…
Vicinity Vision Transformer
Weixuan Sun, Zhen Qin, Hui Deng +7
Vision transformers have shown great success on numerous computer vision tasks. However, its central component, softmax attention, prohibits vision transformers from scaling up to…