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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:

AMP: Adaptive Masked Proxies for Few-Shot Segmentation
Mennatullah Siam, Boris N. Oreshkin, Martin Jägersand
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 5248-5257
Closed Access | Times Cited: 188

Showing 26-50 of 188 citing articles:

Integrative Few-Shot Learning for Classification and Segmentation
Dahyun Kang, Minsu Cho
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 59
Hypercorrelation Squeeze for Few-Shot Segmentation
Juhong Min, Dahyun Kang, Minsu Cho
arXiv (Cornell University) (2021)
Open Access | Times Cited: 56
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation
Chunbo Lang, Binfei Tu, Gong Cheng, et al.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022), pp. 1024-1030
Open Access | Times Cited: 46
Few-Shot Segmentation via Divide-and-Conquer Proxies
Chunbo Lang, Gong Cheng, Binfei Tu, et al.
International Journal of Computer Vision (2023) Vol. 132, Iss. 1, pp. 261-283
Closed Access | Times Cited: 39
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation
Dahyun Kang, Piotr Koniusz, Minsu Cho, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 19627-19638
Closed Access | Times Cited: 22
LLaFS: When Large Language Models Meet Few-Shot Segmentation
Lanyun Zhu, Tianrun Chen, Deyi Ji, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 33, pp. 3065-3075
Closed Access | Times Cited: 8
ViT-CAPS: Vision Transformer with Contrastive Adaptive Prompt Segmentation
Khawaja Iftekhar Rashid, Chenhui Yang
Neurocomputing (2025), pp. 129578-129578
Closed Access | Times Cited: 1
Few-Shot Semantic Segmentation with Cyclic Memory Network
Guo-Sen Xie, Huan Xiong, Jie Liu, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Closed Access | Times Cited: 54
Incremental Few-Shot Instance Segmentation
Dan Andrei Ganea, Bas Boom, Ronald Poppe
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 53
Scale-Aware Detailed Matching for Few-Shot Aerial Image Semantic Segmentation
Xiwen Yao, Qinglong Cao, Xiaoxu Feng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-11
Closed Access | Times Cited: 51
Semantically Meaningful Class Prototype Learning for One-Shot Image Segmentation
Tao Chen, Guo-Sen Xie, Yazhou Yao, et al.
IEEE Transactions on Multimedia (2021) Vol. 24, pp. 968-980
Open Access | Times Cited: 44
Texture based prototypical network for few-shot semantic segmentation of forest cover: Generalizing for different geographical regions
Gokul Puthumanaillam, Ujjwal Verma
Neurocomputing (2023) Vol. 538, pp. 126201-126201
Open Access | Times Cited: 18
RPMG-FSS: Robust Prior Mask Guided Few-Shot Semantic Segmentation
Lingling Zhang, Xinyu Zhang, Qianying Wang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 33, Iss. 11, pp. 6609-6621
Closed Access | Times Cited: 18
PFENet++: Boosting Few-Shot Semantic Segmentation With the Noise-Filtered Context-Aware Prior Mask
Xiaoliu Luo, Zhuotao Tian, Taiping Zhang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 2, pp. 1273-1289
Open Access | Times Cited: 16
Dynamic Extension Nets for Few-shot Semantic Segmentation
Lizhao Liu, Junyi Cao, Min‐Qian Liu, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2020), pp. 1441-1449
Closed Access | Times Cited: 42
ICNet: Intra-saliency Correlation Network for Co-Saliency Detection
Wenda Jin, Jun Xu, Ming–Ming Cheng, et al.
Neural Information Processing Systems (2020) Vol. 33, pp. 18749-18759
Closed Access | Times Cited: 41
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings
Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, et al.
(2020)
Open Access | Times Cited: 40
Few-Shot Segmentation With Optimal Transport Matching and Message Flow
Weide Liu, Chi Zhang, Henghui Ding, et al.
IEEE Transactions on Multimedia (2022) Vol. 25, pp. 5130-5141
Open Access | Times Cited: 26
Quaternion-Valued Correlation Learning for Few-Shot Semantic Segmentation
Zewen Zheng, Guoheng Huang, Xiaochen Yuan, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2022) Vol. 33, Iss. 5, pp. 2102-2115
Open Access | Times Cited: 26
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation
Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, et al.
IEEE Transactions on Multimedia (2022) Vol. 25, pp. 4361-4373
Open Access | Times Cited: 23
Doubly Deformable Aggregation of Covariance Matrices for Few-Shot Segmentation
Zhitong Xiong, Haopeng Li, Xiao Xiang Zhu
Lecture notes in computer science (2022), pp. 133-150
Closed Access | Times Cited: 22
A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation
Qi Zhao, Binghao Liu, Shuchang Lyu, et al.
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 16, Iss. 1, pp. 177-189
Open Access | Times Cited: 13
Prototype Comparison Convolutional Networks for One-Shot Segmentation
Lingbo Li, Zhichun Li, Fusen Guo, et al.
IEEE Access (2024) Vol. 12, pp. 54978-54990
Open Access | Times Cited: 5
APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation
Weizhao He, Yang Zhang, Wei Zhuo, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 33, pp. 23762-23772
Closed Access | Times Cited: 5
Rich Embedding Features for One-Shot Semantic Segmentation
Xiaolin Zhang, Yunchao Wei, Zhao Li, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 11, pp. 6484-6493
Closed Access | Times Cited: 30

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