Open Access Helper

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:

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

Showing 1-25 of 42 citing articles:

Self-support Few-Shot Semantic Segmentation
Qi Fan, Wenjie Pei, Yu‐Wing Tai, et al.
Lecture notes in computer science (2022), pp. 701-719
Open Access | Times Cited: 106
Holistic Prototype Activation for Few-Shot Segmentation
Gong Cheng, Chunbo Lang, Junwei Han
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-17
Closed Access | Times Cited: 87
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview
Wenqi Ren, Yang Tang, Qiyu Sun, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 11, Iss. 5, pp. 1106-1126
Open Access | Times Cited: 35
An overview on Meta-learning approaches for Few-shot Weakly-supervised Segmentation
Pedro H. T. Gama, Hugo Oliveira, Jefersson A. dos Santos, et al.
Computers & Graphics (2023) Vol. 113, pp. 77-88
Closed Access | Times Cited: 18
Video Semantic Segmentation via Sparse Temporal Transformer
Jiangtong Li, Wentao Wang, Junjie Chen, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2021)
Closed Access | Times Cited: 31
Dense Gaussian Processes for Few-Shot Segmentation
Joakim Johnander, Johan Edstedt, Michael Felsberg, et al.
Lecture notes in computer science (2022), pp. 217-234
Open Access | Times Cited: 19
MFNet: Multiclass Few-Shot Segmentation Network With Pixel-Wise Metric Learning
Miao Zhang, Miaojing Shi, Li Li
IEEE Transactions on Circuits and Systems for Video Technology (2022) Vol. 32, Iss. 12, pp. 8586-8598
Open Access | Times Cited: 19
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation
Lizhao Liu, Zhuangwei Zhuang, Shangxin Huang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 18367-18376
Open Access | Times Cited: 12
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application
Bo Yuan, Danpei Zhao
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 10891-10910
Open Access | Times Cited: 4
Multi-scale prototype convolutional network for few-shot semantic segmentation
Xu Ding, Shun Yu, Jingxuan Zhou, et al.
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0319905-e0319905
Open Access
Prediction Calibration for Generalized Few-Shot Semantic Segmentation
Zhihe Lu, Sen He, Da Li, et al.
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 3311-3323
Open Access | Times Cited: 10
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation
Weide Liu, Zhonghua Wu, Yang Zhao, et al.
International Journal of Computer Vision (2023) Vol. 132, Iss. 4, pp. 1277-1291
Closed Access | Times Cited: 10
Multi-Content Interaction Network for Few-Shot Segmentation
Hao Chen, Yunlong Yu, Yonghan Dong, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2024) Vol. 20, Iss. 6, pp. 1-20
Open Access | Times Cited: 3
MCEENet: Multi-Scale Context Enhancement and Edge-Assisted Network for Few-Shot Semantic Segmentation
Hongjie Zhou, Rufei Zhang, Xiaoyu He, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 2922-2922
Open Access | Times Cited: 8
AKECP: Adaptive Knowledge Extraction from Feature Maps for Fast and Efficient Channel Pruning
Haonan Zhang, Longjun Liu, Hengyi Zhou, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2021), pp. 648-657
Closed Access | Times Cited: 18
DAS: Densely-Anchored Sampling for Deep Metric Learning
Lizhao Liu, Shangxin Huang, Zhuangwei Zhuang, et al.
Lecture notes in computer science (2022), pp. 399-417
Open Access | Times Cited: 13
Dual-Guided Frequency Prototype Network for Few-Shot Semantic Segmentation
Chunlin Wen, Hui Huang, Yan Ma, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 8874-8888
Closed Access | Times Cited: 2
A fuzzy partition-based method to classify social messages assessing their emotional relevance
Barbara Cardone, Ferdinando Di Martino, Sabrina Senatore
Information Sciences (2022) Vol. 594, pp. 60-75
Closed Access | Times Cited: 12
CLIP-Driven Prototype Network for Few-Shot Semantic Segmentation
Shi-Cheng Guo, Shangkun Liu, Jingyu Wang, et al.
Entropy (2023) Vol. 25, Iss. 9, pp. 1353-1353
Open Access | Times Cited: 5
ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification
Nicolas Gorlo, Kenneth Blomqvist, Francesco Milano, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 4372-4384
Open Access | Times Cited: 1
ABPNet: Adaptive Background Modeling for Generalized Few Shot Segmentation
Kaiqi Dong, Wei Yang, Zhenbo Xu, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2021) Vol. 755, pp. 2271-2280
Closed Access | Times Cited: 10
AMFuse: Add–Multiply-Based Cross-Modal Fusion Network for Multi-Spectral Semantic Segmentation
Haijun Liu, Fenglei Chen, Zhihong Zeng, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3368-3368
Open Access | Times Cited: 7
Learning Expressive Prompting With Residuals for Vision Transformers
Rajshekhar Das, Yonatan Dukler, Avinash Ravichandran, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. abs 1606 915, pp. 3366-3377
Open Access | Times Cited: 3
Few-shot Semantic Image Synthesis Using StyleGAN Prior
Yuki Endo, Yoshihiro Kanamori
arXiv (Cornell University) (2021)
Open Access | Times Cited: 8
Unsupervised Domain Adaptation for Semantic Segmentation via Low-level Edge Information Transfer
Hongruixuan Chen, Chen Wu, Yonghao Xu, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 8
Page 1 - Next Page

Scroll to top