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Few-shot segmentation (FSS) expects models trained on base classes to work on novel classes with the help of a few support images.
Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists’ detection of pulmonary nodules
Junji Shiraishi, Shigehiko Katsuragawa, Junpei Ikezoe, Tsuneo Matsumoto, Takeshi Kobayashi, Ken-ichi Komatsu, Mitate Matsui, Hiroshi Fujita, Yoshie Kodera, and Kunio Doi · 2000
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Visualizing data using t-sne
Laurens Van der Maaten and Geoffrey Hinton · 2008
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Free-shape polygonal object localization
Xiaolu Sun, C Mario Christoudias, and Pascal Fua · 2014
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Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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One-shot learning for semantic segmentation
Amirreza Shaban, Shray Bansal, Zhen Liu, Irfan Essa, and Byron Boots · 2017
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Prototypical networks for few-shot learning
Jake Snell, Kevin Swersky, and Richard S Zemel · 2017
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Few-shot semantic segmentation with prototype learning
Nanqing Dong and Eric P Xing · 2018
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Learning to compare: Relation network for few-shot learning
Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip HS Torr, and Timothy M Hospedales · 2018
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A closer look at few-shot classification
Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Wang, and Jia-Bin Huang · 2019
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Learning active contour models for medical image segmentation
Xu Chen, Bryan M Williams, Srinivasa R Vallabhaneni, Gabriela Czanner, Rachel Williams, and Yalin Zheng · 2019
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Learning to propagate labels: Transductive propagation network for few-shot learning
Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang, and Yi Yang · 2019
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Semi-supervised semantic segmentation with high-and low-level consistency
Sudhanshu Mittal, Maxim Tatarchenko, and Thomas Brox · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Panet: Few-shot image semantic segmentation with prototype alignment
Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, and Jiashi Feng · 2019
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Part-aware prototype network for few-shot semantic segmentation
Yongfei Liu, Xiangyi Zhang, Songyang Zhang, and Xuming He · 2020
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Contour transformer network for one-shot segmentation of anatomical structures
Yuhang Lu et al · 2020
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Semi-supervised semantic segmentation with cross-consistency training
Yassine Ouali, Céline Hudelot, and Myriam Tami · 2020
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Prior guided feature enrichment network for few-shot segmentation
Z Tian, H Zhao, M Shu, Z Yang, R Li, and J Jia · 2020
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Cross-domain few-shot classification via learned feature-wise transformation
Hung-Yu Tseng, Hsin-Ying Lee, Jia-Bin Huang, and Ming-Hsuan Yang · 2020
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Pseudoseg: Designing pseudo labels for semantic segmentation
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Canet: Class-agnostic segmentation networks with iterative refinement and attentive few-shot learning
Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, and Chunhua Shen · 2019
Cited alongside, same era.
A baseline for few-shot image classification
Guneet Singh Dhillon, Pratik Chaudhari, Avinash Ravichandran, and Stefano Soatto · 2020
Cited alongside, same era.
A broader study of cross-domain few-shot learning
Yunhui Guo, Noel C Codella, Leonid Karlinsky, James V Codella, John R Smith, Kate Saenko, Tajana Rosing, and Rogerio Feris · 2020
Cited alongside, same era.
Crnet: Cross-reference networks for few-shot segmentation
Weide Liu, Chi Zhang, Guosheng Lin, and Fayao Liu · 2020
Cited alongside, same era.
Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, and Tomas Pfister · 2020
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Few-shot segmentation without meta-learning: A good transductive inference is all you need?
Malik Boudiaf, Hoel Kervadec, Ziko Imtiaz Masud, Pablo Piantanida, Ismail Ben Ayed, and Jose Dolz · 2021
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Semi-supervised semantic segmentation with cross pseudo supervision
Xiaokang Chen, Yuhui Yuan, Gang Zeng, and Jingdong Wang · 2021
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Mining latent classes for few-shot segmentation
Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, and Yang Gao · 2021
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