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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation
Xiaolin Zhang, Yunchao Wei, Yi Yang, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 79

Showing 26-50 of 79 citing articles:

Progressive One-shot Human Parsing
Haoyu He, Jing Zhang, Bhavani Thuraisingham, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 2, pp. 1522-1530
Open Access | Times Cited: 16
Multi-scale Discriminative Location-Aware Network for Few-Shot Semantic Segmentation
Zihao Dong, Ruixun Zhang, Xiuli Shao, et al.
(2019) Vol. 2, pp. 42-47
Closed Access | Times Cited: 19
FAPIS: A Few-shot Anchor-free Part-based Instance Segmenter
Khoi Nguyen, Sinisa Todorovic
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021) Vol. 3, pp. 11094-11103
Open Access | Times Cited: 15
Adaptive Masked Proxies for Few-Shot Segmentation
Mennatullah Siam, Boris N. Oreshkin, Martin Jägersand
arXiv (Cornell University) (2019)
Open Access | Times Cited: 17
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation
Xianghui Yang, Bairun Wang, Kaige Chen, et al.
British Machine Vision Conference (2020)
Closed Access | Times Cited: 12
Recognizing novel patterns via adversarial learning for one-shot semantic segmentation
Guangchao Yang, Dongmei Niu, Caiming Zhang, et al.
Information Sciences (2020) Vol. 518, pp. 225-237
Closed Access | Times Cited: 11
Incorporating Depth Information into Few-Shot Semantic Segmentation
Yifei Zhang, Désiré Sidibé, Olivier Morel, et al.
2022 26th International Conference on Pattern Recognition (ICPR) (2021), pp. 3582-3588
Open Access | Times Cited: 9
End-to-End One-Shot Human Parsing
Haoyu He, Jing Zhang, Bohan Zhuang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 12, pp. 14481-14496
Open Access | Times Cited: 3
Hierarchical context-agnostic network with contrastive feature diversity for one-shot semantic segmentation
Zhiyuan Fang, Guangyu Gao, Zekang Zhang, et al.
Journal of Visual Communication and Image Representation (2023) Vol. 90, pp. 103754-103754
Closed Access | Times Cited: 3
A New Few-shot Segmentation Network Based on Class Representation
Yuwei Yang, Fanman Meng, Hongliang Li, et al.
(2019)
Open Access | Times Cited: 8
Feature Weighting and Boosting for Few-Shot Segmentation.
Khoi Nguyen, Sinisa Todorovic
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 7
Learning With Memory For Few-Shot Semantic Segmentation
Hongchao Lu, Chao Wei, Zhidong Deng
2022 IEEE International Conference on Image Processing (ICIP) (2021), pp. 629-633
Closed Access | Times Cited: 7
Arnet: Attention-Based Refinement Network for Few-Shot Semantic Segmentation
Ru-Sheng Li, Hanhui Liu, Yuesheng Zhu, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2020), pp. 2238-2242
Closed Access | Times Cited: 6
SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation
Siddhartha Gairola, Mayur Hemani, Ayush Chopra, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 6
Prototype Mixture Models for Few-shot Semantic Segmentation
Boyu Yang, Chang Liu, Bohao Li, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 6
ARNet: Active-Reference Network for Few-Shot Image Semantic Segmentation
Guangchen Shi, Yirui Wu, Palaiahnakote Shivakumara, et al.
2022 IEEE International Conference on Multimedia and Expo (ICME) (2021), pp. 1-6
Closed Access | Times Cited: 6
Visual Boundary Knowledge Translation for Foreground Segmentation
Zunlei Feng, Lechao Cheng, Xinchao Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 2, pp. 1334-1342
Open Access | Times Cited: 6
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask
Xiaoliu Luo, Zhuotao Tian, Taiping Zhang, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 6
Learning Few-shot Segmentation from Bounding Box Annotations
Byeolyi Han, Tae-Hyun Oh
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 3739-3748
Closed Access | Times Cited: 2
Leveraging Pretrained Image Classifiers for Language-Based Segmentation
David Golub, Ahmed El-Kishky, Roberto Martín-Martín
(2020)
Open Access | Times Cited: 5
Part Segmentation of Unseen Objects using Keypoint Guidance
Shujon Naha, Qingyang Xiao, Prianka Banik, et al.
(2021), pp. 1741-1749
Closed Access | Times Cited: 5
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
Kaixin Wang, Jun Hao Liew, Yingtian Zou, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 4
On the Texture Bias for Few-Shot CNN Segmentation.
Reza Azad, Abdur Razzaq Fayjie, Claude Kauffman, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 4
FGN: Fully Guided Network for Few-Shot Instance Segmentation
Zhibo Fan, Jin-Gang Yu, Zhihao Liang, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 4
Intermediate prototype network for few-shot segmentation
Xiaoliu Luo, Zhao Duan, Taiping Zhang
Signal Processing (2022) Vol. 203, pp. 108811-108811
Closed Access | Times Cited: 3

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