Can Attention Enable MLPs To Catch Up With CNNs?

31 May 2021

Papers citing "Can Attention Enable MLPs To Catch Up With CNNs?"

6 / 6 papers shown

Title
Efficient High-Resolution Deep Learning: A Survey Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis MedIm 21 19 0 26 Jul 2022
Visual Attention Network Meng-Hao Guo Chengrou Lu Zheng-Ning Liu Ming-Ming Cheng Shiyong Hu ViT VLM 24 637 0 20 Feb 2022
Continual Transformers: Redundancy-Free Attention for Online Inference Lukas Hedegaard Arian Bakhtiarnia Alexandros Iosifidis CLL 27 11 0 17 Jan 2022
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP Ruiyang Liu Hai-Tao Zheng Li Tao Dun Liang Haitao Zheng 85 97 0 07 Nov 2021
Multi-Exit Vision Transformer for Dynamic Inference Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis 33 26 0 29 Jun 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 274 2,603 0 04 May 2021