MRL: Learning to Mix with Attention and Convolutions

MRL: Learning to Mix with Attention and Convolutions

30 August 2022

Hisahiro Suganuma

Yoshiki Tanaka

Papers citing "MRL: Learning to Mix with Attention and Convolutions"

6 / 6 papers shown

Title
Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology Images Zhiyun Song Penghui Du Junpeng Yan Keqin Li Jianzhong Shou Maode Lai Yubo Fan Yan Xu 32 7 0 14 Sep 2023
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 271 2,603 0 04 May 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 277 3,623 0 24 Feb 2021
Bottleneck Transformers for Visual Recognition A. Srinivas Nayeon Lee Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani SLR 290 979 0 27 Jan 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 261 36,371 0 25 Aug 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014