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:

DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers
Xianing Chen, Qiong Cao, Yujie Zhong, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 12042-12052
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Structured Pruning for Deep Convolutional Neural Networks: A Survey
Yang He, Lingao Xiao
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 5, pp. 2900-2919
Closed Access | Times Cited: 73
A survey of techniques for optimizing transformer inference
Krishna Teja Chitty-Venkata, Sparsh Mittal, Murali Emani, et al.
Journal of Systems Architecture (2023) Vol. 144, pp. 102990-102990
Open Access | Times Cited: 41
Logit Standardization in Knowledge Distillation
Shangquan Sun, Wenqi Ren, Jingzhi Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 15731-15740
Closed Access | Times Cited: 35
A Survey on Efficient Vision Transformers: Algorithms, Techniques, and Performance Benchmarking
Lorenzo Papa, Paolo Russo, Irene Amerini, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 7682-7700
Open Access | Times Cited: 16
ReAct: Temporal Action Detection with Relational Queries
Dingfeng Shi, Yujie Zhong, Qiong Cao, et al.
Lecture notes in computer science (2022), pp. 105-121
Closed Access | Times Cited: 49
PPT: Token-Pruned Pose Transformer for Monocular and Multi-view Human Pose Estimation
Haoyu Ma, Zhe Wang, Yifei Chen, et al.
Lecture notes in computer science (2022), pp. 424-442
Open Access | Times Cited: 38
Masked Autoencoders Enable Efficient Knowledge Distillers
Yutong Bai, Zeyu Wang, Junfei Xiao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 28
Efficient knowledge distillation for hybrid models: A vision transformer‐convolutional neural network to convolutional neural network approach for classifying remote sensing images
Huaxiang Song, Yuxuan Yuan, Zhiwei Ouyang, et al.
IET Cyber-Systems and Robotics (2024) Vol. 6, Iss. 3
Open Access | Times Cited: 10
Revolutionizing Brain Tumor Detection Using Explainable AI in MRI Images
Md. Ariful Islam, M. F. Mridha, Mejdl Safran, et al.
NMR in Biomedicine (2025) Vol. 38, Iss. 3
Closed Access | Times Cited: 1
Computer Vision Model Compression Techniques for Embedded Systems:A Survey
Alexandre Lopes, Fernando Pereira dos Santos, Diulhio Candido de Oliveira, et al.
Computers & Graphics (2024) Vol. 123, pp. 104015-104015
Open Access | Times Cited: 6
Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation
Chuanguang Yang, Xinqiang Yu, Zhulin An, et al.
Studies in computational intelligence (2023), pp. 1-32
Closed Access | Times Cited: 15
Boosting Knowledge Distillation via Intra-Class Logit Distribution Smoothing
Cong Li, Gong Cheng, Junwei Han
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 34, Iss. 6, pp. 4190-4201
Closed Access | Times Cited: 13
CLIPPING: Distilling CLIP-Based Models with a Student Base for Video-Language Retrieval
Renjing Pei, Jianzhuang Liu, Weimian Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Closed Access | Times Cited: 12
An Attention-Based Representation Distillation Baseline for Multi-label Continual Learning
Martin Menabue, Emanuele Frascaroli, M. Boschini, et al.
Lecture notes in computer science (2025), pp. 209-223
Closed Access
Action Recognition Based on Two-Stage Distillation
凯 陈
Artificial Intelligence and Robotics Research (2025) Vol. 14, Iss. 02, pp. 362-375
Closed Access
Adaptive patch selection to improve Vision Transformers through Reinforcement Learning
Francesco Cauteruccio, Michele Marchetti, Davide Traini, et al.
Applied Intelligence (2025) Vol. 55, Iss. 7
Open Access
Self-architectural knowledge distillation for spiking neural networks
Haonan Qiu, Munan Ning, Zeyin Song, et al.
Neural Networks (2024) Vol. 178, pp. 106475-106475
Closed Access | Times Cited: 3
AMD: Automatic Multi-step Distillation of Large-Scale Vision Models
Cheng Han, Qifan Wang, Sohail A. Dianat, et al.
Lecture notes in computer science (2024), pp. 431-450
Closed Access | Times Cited: 3
Generic-to-Specific Distillation of Masked Autoencoders
Wei Huang, Zhiliang Peng, Dong Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 7
Multimodal Distillation for Egocentric Action Recognition
Gorjan Radevski, Dusan Grujicic, Matthew B. Blaschko, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 5190-5201
Open Access | Times Cited: 7
Reverse Knowledge Distillation: Training a Large Model using a Small One for Retinal Image Matching on Limited Data
Sahar Almahfouz Nasser, Nihar Gupte, Amit Sethi
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 7763-7772
Open Access | Times Cited: 2
Cumulative Spatial Knowledge Distillation for Vision Transformers
Borui Zhao, Renjie Song, Jiajun Liang
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 6123-6132
Open Access | Times Cited: 5
$V_{k}D$: Improving Knowledge Distillation Using Orthogonal Projections
Roy Miles, Ismail Elezi, Jiankang Deng
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 15720-15730
Closed Access | Times Cited: 1
Enhancing Efficient Global Understanding Network With CSWin Transformer for Urban Scene Images Segmentation
Jie Zhang, Mingwen Shao, Yuanjian Qiao, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 10230-10245
Open Access | Times Cited: 2
A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition
Yusheng Dai, Hang Chen, Jun Du, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 30, pp. 27435-27445
Closed Access
Page 1 - Next Page

Scroll to top