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20162022
most citedA Survey on Visual Transformer

4.4k citations · 5.1k across the 18 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 4.4k cited

A Survey on Visual Transformer

Kai Han, Yunhe Wang, Hanting Chen +10

Transformer, first applied to the field of natural language processing, is a type of deep neural network mainly based on the self-attention mechanism. Thanks to its strong represen…

cs.CV2020★ 27 cited

Kernel Based Progressive Distillation for Adder Neural Networks

Yixing Xu, Chang Xu, Xinghao Chen +3

Adder Neural Networks (ANNs) which only contain additions bring us a new way of developing deep neural networks with low energy consumption. Unfortunately, there is an accuracy dro…

cs.CV2020★ 44 cited

Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer

Xinghao Chen, Yiman Zhang, Yunhe Wang +3

Video style transfer techniques inspire many exciting applications on mobile devices. However, their efficiency and stability are still far from satisfactory. To boost the transfer…

cs.CV2020★ 6 cited

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens

Zhaohui Yang, Yunhe Wang, Xinghao Chen +6

Neural Architecture Search (NAS) refers to automatically design the architecture. We propose an hourglass-inspired approach (HourNAS) for this problem that is motivated by the fact…

cs.CV2020★ 15 cited

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection

Jianyuan Guo, Kai Han, Yunhe Wang +5

Neural Architecture Search (NAS) has achieved great success in image classification task. Some recent works have managed to explore the automatic design of efficient backbone or fe…