Dual-channel Prototype Network for few-shot Classification of Pathological Images

14 November 2023

Papers citing "Dual-channel Prototype Network for few-shot Classification of Pathological Images"

8 / 8 papers shown

Title
Effective Vision Transformer Training: A Data-Centric Perspective Benjia Zhou Pichao Wang Jun Wan Yan-Ni Liang Fan Wang 24 5 0 29 Sep 2022
Zero-Shot and Few-Shot Learning for Lung Cancer Multi-Label Classification using Vision Transformer F. Guo Yingfang Fan ViT MedIm 62 6 0 30 May 2022
Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality Xiang Li Wenhai Wang Lingfeng Yang Jian Yang 95 73 0 20 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 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 263 3,604 0 24 Feb 2021
Bottleneck Transformers for Visual Recognition A. Srinivas Tsung-Yi Lin Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani SLR 270 973 0 27 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 247 36,237 0 25 Aug 2016