Assessing the Impact of Attention and Self-Attention Mechanisms on the Classification of Skin Lesions

23 December 2021

Papers citing "Assessing the Impact of Attention and Self-Attention Mechanisms on the Classification of Skin Lesions"

17 / 17 papers shown

Title
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases Stéphane dÁscoli Hugo Touvron Matthew L. Leavitt Ari S. Morcos Giulio Biroli Levent Sagun ViT 129 832 0 19 Mar 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 389 6,793 0 23 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 667 41,369 0 22 Oct 2020
Rotate to Attend: Convolutional Triplet Attention Module Diganta Misra Trikay Nalamada Ajay Uppili Arasanipalai Qibin Hou ViT 3DPC 63 598 0 06 Oct 2020
End-to-End Object Detection with Transformers Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 421 13,048 0 26 May 2020
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks Qilong Wang Banggu Wu Peng Fei Zhu P. Li W. Zuo Q. Hu 143 4,028 0 08 Oct 2019
Stand-Alone Self-Attention in Vision Models Prajit Ramachandran Niki Parmar Ashish Vaswani Irwan Bello Anselm Levskaya Jonathon Shlens VLM SLR ViT 98 1,215 0 13 Jun 2019
Attention Augmented Convolutional Networks Irwan Bello Barret Zoph Ashish Vaswani Jonathon Shlens Quoc V. Le 137 1,015 0 22 Apr 2019
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC) Noel Codella V. Rotemberg P. Tschandl M. E. Celebi Stephen W. Dusza ... Aadi Kalloo Konstantinos Liopyris Michael Marchetti Harald Kittler Allan Halpern 107 1,189 0 09 Feb 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 115 2,672 0 29 Nov 2018
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 224 16,582 0 17 Jul 2018
Learn To Pay Attention Saumya Jetley Nicholas A. Lord Namhoon Lee Philip Torr 101 441 0 06 Apr 2018
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 427 26,539 0 05 Sep 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 725 132,199 0 12 Jun 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 321 20,070 0 07 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Recurrent Models of Visual Attention Volodymyr Mnih N. Heess Alex Graves Koray Kavukcuoglu VLM 155 3,657 0 24 Jun 2014