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Few-shot segmentation (FSS) aims to segment novel classes in a query image by using only a small number of supporting images from base classes.
No more discrimination: Cross city adaptation of road scene segmenters
Yi-Hsin Chen, Wei-Yu Chen, Yu-Ting Chen, Bo-Cheng Tsai, Yu-Chiang Frank Wang, and Min Sun · 2001
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Brinet: Towards bridging the intra-class and inter-class gaps in one-shot segmentation
Xianghui Yang, Bairun Wang, Kaige Chen, Xinchi Zhou, Shuai Yi, Wanli Ouyang, and Luping Zhou · 2008
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The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010
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Semantic contours from inverse detectors
Bharath Hariharan, Pablo Arbeláez, Lubomir Bourdev, Subhransu Maji, and Jitendra Malik · 2011
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Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration
Sema Candemir, Stefan Jaeger, Kannappan Palaniappan, Jonathan P Musco, Rahul K Singh, Zhiyun Xue, Alexandros Karargyris, Sameer Antani, George Thoma, and Clement J McDonald · 2013
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Automatic tuberculosis screening using chest radiographs
Stefan Jaeger, Alexandros Karargyris, Sema Candemir, Les Folio, Jenifer Siegelman, Fiona Callaghan, Zhiyun Xue, Kannappan Palaniappan, Rahul K Singh, Sameer Antani, et al · 2013
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 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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Matching networks for one shot learning
Oriol Vinyals, Charles Blundell, Timothy Lillicrap, Daan Wierstra, et al · 2016
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Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge Belongie · 2017
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Pyramid scene parsing network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2017
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Road: Reality oriented adaptation for semantic segmentation of urban scenes
Yuhua Chen, Wen Li, and Luc Van Gool · 2018
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Deepglobe 2018: A challenge to parse the earth through satellite images
Ilke Demir, Krzysztof Koperski, David Lindenbaum, Guan Pang, Jing Huang, Saikat Basu, Forest Hughes, Devis Tuia, and Ramesh Raskar · 2018
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Adversarial learning for semi-supervised semantic segmentation
Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou, Yen-Yu Lin, and Ming-Hsuan Yang · 2018
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Two at once: Enhancing learning and generalization capacities via ibn-net
Xingang Pan, Ping Luo, Jianping Shi, and Xiaoou Tang · 2018
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The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
Philipp Tschandl, Cliff Rosendahl, and Harald Kittler · 2018
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Noel Codella, Veronica Rotemberg, Philipp Tschandl, M Emre Celebi, Stephen Dusza, David Gutman, Brian Helba, Aadi Kalloo, Konstantinos Liopyris, Michael Marchetti, et al · 2019
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Amp: Adaptive masked proxies for few-shot segmentation
Mennatullah Siam, Boris N Oreshkin, and Martin Jagersand · 2019
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Domain adaptation for structured output via discriminative patch representations
Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, and Manmohan Chandraker · 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
Adaptive prototype learning and allocation for few-shot segmentation
Gen Li, Varun Jampani, Laura Sevilla-Lara, Deqing Sun, Jonghyun Kim, and Joongkyu Kim · 2021
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Hypercorrelation squeeze for few-shot segmentation
Juhong Min, Dahyun Kang, and Minsu Cho · 2021
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Global and local texture randomization for synthetic-to-real semantic segmentation
Duo Peng, Yinjie Lei, Lingqiao Liu, Pingping Zhang, and Jun Liu · 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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Deep reasoning network for few-shot semantic segmentation
Yunzhi Zhuge and Chunhua Shen · 2021
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Cross-domain few-shot semantic segmentation
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Bowen Du, and Chang-Tien Lu · 2022
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Cited alongside, same era.
Fss-1000: A 1000-class dataset for few-shot segmentation
Xiang Li, Tianhan Wei, Yau Pun Chen, Yu-Wing Tai, and Chi-Keung Tang · 2020
Cited alongside, same era.
Dynamic extension nets for few-shot semantic segmentation
Lizhao Liu, Junyi Cao, Minqian Liu, Yong Guo, Qi Chen, and Mingkui Tan · 2020
Cited alongside, same era.
Self-supervision with superpixels: Training few-shot medical image segmentation without annotation
Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, and Daniel Rueckert · 2020
Cited alongside, same era.
Prior guided feature enrichment network for few-shot segmentation
Zhuotao Tian, Hengshuang Zhao, Michelle Shu, Zhicheng Yang, Ruiyu Li, and Jiaya Jia · 2020
Cited alongside, same era.
Eca-net: Efficient channel attention for deep convolutional neural networks
Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, and Qinghua Hu · 2020
Cited alongside, same era.
Prototype mixture models for few-shot semantic segmentation
Boyu Yang, Chang Liu, Bohao Li, Jianbin Jiao, and Qixiang Ye · 2020
Cited alongside, same era.
Sg-one: Similarity guidance network for one-shot semantic segmentation
Xiaolin Zhang, Yunchao Wei, Yi Yang, and Thomas S Huang · 2020
Cited alongside, same era.
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Cross-domain few-shot segmentation with transductive fine-tuning
Yuhang Lu, Xinyi Wu, Zhenyao Wu, and Song Wang · 2022
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Semantic-aware domain generalized segmentation
Duo Peng, Yinjie Lei, Munawar Hayat, Yulan Guo, and Wen Li · 2022
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Remember the difference: Cross-domain few-shot semantic segmentation via meta-memory transfer
Wenjian Wang, Lijuan Duan, Yuxi Wang, Qing En, Junsong Fan, and Zhaoxiang Zhang · 2022
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Dirl: Domain-invariant representation learning for generalizable semantic segmentation
Qi Xu, Liang Yao, Zhengkai Jiang, Guannan Jiang, Wenqing Chu, Wenhui Han, Wei Zhang, Chengjie Wang, and Ying Tai · 2022
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St++: Make self-training work better for semi-supervised semantic segmentation
Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, and Yang Gao · 2022
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Style-hallucinated dual consistency learning for domain generalized semantic segmentation
Yuyang Zhao, Zhun Zhong, Na Zhao, Nicu Sebe, and Gim Hee Lee · 2022
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Adversarial style augmentation for domain generalized urban-scene segmentation
Zhun Zhong, Yuyang Zhao, Gim Hee Lee, and Nicu Sebe · 2022
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Restnet: Boosting cross-domain few-shot segmentation with residual transformation network
Xinyang Huang, Chuang Zhu, and Wenkai Chen · 2023
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