OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Weakly Supervised One Shot Segmentation
Hasnain Raza, Mahdyar Ravanbakhsh, Tassilo Klein, et al.
(2019)
Closed Access | Times Cited: 20

Showing 20 citing articles:

Multimodal Prototypical Networks for Few-shot Learning
Frederik Pahde, Mihai Puscas, Tassilo Klein, et al.
(2021), pp. 2643-2652
Open Access | Times Cited: 79

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

Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation
Vien Ngoc Dang, Francesco Galati, Rosa Cortese, et al.
Medical Image Analysis (2021) Vol. 75, pp. 102263-102263
Open Access | Times Cited: 27

A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation
Yuan‐Hao Lee, Fu-En Yang, Yu-Chiang Frank Wang
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2022), pp. 1607-1617
Closed Access | Times Cited: 14

Learning robust correlation with foundation model for weakly-supervised few-shot segmentation
X. T. Huang, Chuang Zhu, Kebin Liu, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112004-112004
Open Access | Times Cited: 2

Iterative Few-shot Semantic Segmentation from Image Label Text
Haohan Wang, Liang Liu, Wuhao Zhang, et al.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022), pp. 1385-1392
Open Access | Times Cited: 10

One-shot and Partially-Supervised Cell Image Segmentation Using Small Visual Prompt
Sota Kato, Kazuhiro Hotta
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 4295-4304
Open Access | Times Cited: 4

Language-Guided Few-Shot Semantic Segmentation
Jing Wang, Yuang Liu, Qiang Zhou, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 5035-5039
Open Access | Times Cited: 1

Integration of regularized l1 tracking and instance segmentation for video object tracking
Filiz Gürkan, Bilge Günsel
Neurocomputing (2020) Vol. 423, pp. 284-300
Open Access | Times Cited: 8

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

Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings
Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, et al.
(2020)
Closed Access | Times Cited: 4

One-Shot Shape-Based Amodal-to-Modal Instance Segmentation
Andrew C. Li, Michael Danielczuk, Ken Goldberg
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2020), pp. 1375-1382
Closed Access | Times Cited: 4

Dual semantic-guided model for weakly-supervised zero-shot semantic segmentation
Fengli Shen, Zhe‐Ming Lu, Ziqian Lu, et al.
Multimedia Tools and Applications (2021) Vol. 81, Iss. 4, pp. 5443-5458
Closed Access | Times Cited: 4

Weakly Supervised Few-Shot Segmentation Through Textual Prompt
Shengzhe You, Libo Weng, Fei Gao
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 7950-7954
Closed Access

Detection of fetal congenital heart defects on three-vessel view ultrasound videos
Netzahualcoyotl Hernandez-Cruz, O. Patey, Bojana Salovic, et al.
WFUMB Ultrasound Open (2024), pp. 100075-100075
Open Access

One-Shot Weakly Supervised Video Object Segmentation
Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 3

Multimodal Prototypical Networks for Few-shot Learning
Frederik Pahde, Mihai Puscas, Tassilo Klein, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 3

Fused Node-Level Residual Structure Edge Graph Neural Network for Few-Shot Image Classification
Yaoqun Xu, Yuemao Wang
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 10996-10996
Open Access | Times Cited: 1

CT-VOS: Cutout prediction and tagging for self-supervised video object segmentation
Jyoti Kini, Fahad Shahbaz Khan, Salman Khan, et al.
Computer Vision and Image Understanding (2023) Vol. 238, pp. 103860-103860
Open Access

Towards Neural Ar: Unsupervised Object Segmentation with 3d Scanned Model Through Relative
Zackary P. T. Sin, Peter H. F. Ng, Hong Va Leong
(2020), pp. 1-6
Closed Access

Page 1

Scroll to top