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Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease Classification

3 July 2022

Xiaowei Xu

Papers citing "Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease Classification"

21 / 21 papers shown

Title
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 82 37 0 18 Oct 2021
A Comprehensive Survey of Scene Graphs: Generation and Application Xiaojun Chang Pengzhen Ren Pengfei Xu Zhihui Li Xiaojiang Chen Alexander G. Hauptmann 3DV 98 235 0 17 Mar 2021
Self-training for Few-shot Transfer Across Extreme Task Differences Cheng Perng Phoo B. Hariharan SSL 117 108 0 15 Oct 2020
Explanation-Guided Training for Cross-Domain Few-Shot Classification Jiamei Sun Sebastian Lapuschkin Wojciech Samek Yunqing Zhao Ngai-Man Cheung Alexander Binder 72 89 0 17 Jul 2020
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 62 167 0 06 Jun 2020
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification Wei-wei Zhu Haofu Liao Wenbin Li Weijian Li Jiebo Luo 82 17 0 21 Apr 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification Bin Liu Yue Cao Yutong Lin Qi Li Zheng Zhang Mingsheng Long Han Hu 92 323 0 26 Mar 2020
Self-Supervised Learning For Few-Shot Image Classification Da Chen YueFeng Chen Yuhong Li Feng Mao Yuan He Hui Xue SSL 64 110 0 14 Nov 2019
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning Yan Wang Wei-Lun Chao Kilian Q. Weinberger Laurens van der Maaten VLM 78 341 0 12 Nov 2019
CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading Xuelong Li Xiaowei Hu Lequan Yu Lei Zhu Chi-Wing Fu Pheng-Ann Heng MedIm 62 299 0 04 Nov 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning Puneet Mangla M. Singh Abhishek Sinha Nupur Kumari V. Balasubramanian Balaji Krishnamurthy SSL 94 328 0 28 Jul 2019
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation Lequan Yu Shujun Wang Xuelong Li Chi-Wing Fu Pheng-Ann Heng UQCV 87 856 0 16 Jul 2019
Revisiting Metric Learning for Few-Shot Image Classification Xiaomeng Li Lequan Yu Chi-Wing Fu Meng Fang Pheng-Ann Heng VLM 75 95 0 06 Jul 2019
Difficulty-aware Meta-learning for Rare Disease Diagnosis Xuelong Li Lequan Yu Yueming Jin Chi-Wing Fu Lei Xing Pheng-Ann Heng 48 64 0 30 Jun 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 116 1,769 0 08 Apr 2019
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation Xuelong Li Lequan Yu Hao Chen Chi-Wing Fu Lei Xing Pheng-Ann Heng MedIm 79 387 0 28 Feb 2019
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 240 2,238 0 08 Mar 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 833 11,952 0 09 Mar 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 378 7,343 0 13 Jun 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 356 8,002 0 23 May 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 176 1,946 0 24 Feb 2016