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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:

SgVA-CLIP: Semantic-Guided Visual Adapting of Vision-Language Models for Few-Shot Image Classification
Fang Peng, Xiaoshan Yang, Linhui Xiao, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 3469-3480
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Vision-Language Models for Vision Tasks: A Survey
J Zhang, Jiaxing Huang, Sheng Jin, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5625-5644
Open Access | Times Cited: 104
Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition
Yuyang Wanyan, Xiaoshan Yang, Chaofan Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Closed Access | Times Cited: 24
A survey of efficient fine-tuning methods for Vision-Language Models — Prompt and Adapter
Jialu Xing, Jianping Liu, Jian Wang, et al.
Computers & Graphics (2024) Vol. 119, pp. 103885-103885
Closed Access | Times Cited: 8
Ta-Adapter: Enhancing few-shot CLIP with task-aware encoders
Wenbo Zhang, Yifan Zhang, Yuyang Deng, et al.
Pattern Recognition (2024) Vol. 153, pp. 110559-110559
Closed Access | Times Cited: 8
Domain Aligned CLIP for Few-shot Classification
Muhammad Waleed Gondal, Jochen Gast, Inigo Alonso Ruiz, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024)
Open Access | Times Cited: 5
Visual Tuning
Bruce X.B. Yu, Jianlong Chang, Haixin Wang, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 12, pp. 1-38
Open Access | Times Cited: 4
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-Trained Vision-Language Models
Lin Li, Haoyan Guan, Jianing Qiu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 24408-24419
Closed Access | Times Cited: 4
CLIB-FIQA: Face Image Quality Assessment with Confidence Calibration
Fu-Zhao Ou, Chongyi Li, Shiqi Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 1694-1704
Closed Access | Times Cited: 4
A Comprehensive Review for Generalized Few-Shot Imageclassification
Sai Yang, Bin Hu, Fan Liu, et al.
(2025)
Closed Access
Multi-modal prompt learning with bidirectional layer-wise prompt fusion
Haitao Yin, Yumeng Zhao
Information Fusion (2025), pp. 102919-102919
Closed Access
Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions
Oindrila Saha, Grant Van Horn, Subhransu Maji
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 33, pp. 17542-17552
Closed Access | Times Cited: 3
HiVG: Hierarchical Multimodal Fine-grained Modulation for Visual Grounding
Linhui Xiao, Xiaoshan Yang, Fang Peng, et al.
(2024), pp. 5460-5469
Closed Access | Times Cited: 2
Text-guided Graph Temporal Modeling for few-shot video classification
Fuqin Deng, Jiaming Zhong, Nannan Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109076-109076
Closed Access | Times Cited: 1
Partial-tuning Based Mixed-modal Prototypes for Few-shot Classification
Yuling Su, Xueliang Liu, Ye Zhao, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 9175-9186
Closed Access
I2MEP-Net: Inter- and Intra-Modality Enhancing Prototypical Network for Few-Shot Hyperspectral Image Classification
Wenzhen Wang, Fang Liu, Liang Xiao
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-15
Closed Access
Text-Guided Graph Temporal Modeling for Few-Shot Video Classification
Deng Fuqin, Jiaming Zhong, Nannan Li, et al.
(2024)
Closed Access
Few-shot image classification based on gradual machine learning
Na Chen, Xianming Kuang, Feiyu Liu, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124676-124676
Open Access
Multi-label recognition in open driving scenarios based on bipartite-driven superimposed dynamic graph
Xu Wu, Suting Chen
Image and Vision Computing (2024) Vol. 149, pp. 105189-105189
Closed Access
Reallocating and Evolving General Knowledge for Few-shot Learning
Yuling Su, Xueliang Liu, Zhen Huang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 12, pp. 13518-13529
Closed Access
Descriptor and Word Soups Q: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning
Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. abs/1311.3618, pp. 27005-27015
Closed Access
Visual-Language Collaborative Representation Network for Broad-Domain Few-Shot Image Classification
Qianyu Guo, Jieji Ren, Haofen Wang, et al.
(2024), pp. 738-747
Closed Access
MPT: Multi-grained Prompt Tuning for Text-Video Retrieval
Haonan Zhang, Pengpeng Zeng, Lianli Gao, et al.
(2024), pp. 1206-1214
Closed Access
Disentangled Prompt Learning for Transferable, Multimodal, Few-Shot Image Classification
John Yang, Alessandro Magnani, Binwei Yang
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 3343-3352
Closed Access
Visual Tuning
Bruce X.B. Yu, Jianlong Chang, Haixin Wang, et al.
arXiv (Cornell University) (2023)
Open Access
CLIP-VG: Self-paced Curriculum Adapting of CLIP for Visual Grounding
Linhui Xiao, Xiaoshan Yang, Fang Peng, et al.
arXiv (Cornell University) (2023)
Open Access
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