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:
Adaptive Aggregation Networks for Class-Incremental Learning
Yaoyao Liu, Bernt Schiele, Qianru Sun
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 149
Yaoyao Liu, Bernt Schiele, Qianru Sun
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 149
Showing 1-25 of 149 citing articles:
Few-Shot Incremental Learning with Continually Evolved Classifiers
Chi Zhang, Nan Song, Guosheng Lin, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 12450-12459
Open Access | Times Cited: 208
Chi Zhang, Nan Song, Guosheng Lin, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 12450-12459
Open Access | Times Cited: 208
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation
Minsoo Kang, Jaeyoo Park, Bohyung Han
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 121
Minsoo Kang, Jaeyoo Park, Bohyung Han
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 121
Distilling Causal Effect of Data in Class-Incremental Learning
Xinting Hu, Kaihua Tang, Chunyan Miao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 120
Xinting Hu, Kaihua Tang, Chunyan Miao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 120
Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning
Kai Zhu, Wei Zhai, Yang Cao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 9286-9295
Open Access | Times Cited: 104
Kai Zhu, Wei Zhai, Yang Cao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 9286-9295
Open Access | Times Cited: 104
Federated Class-Incremental Learning
Jiahua Dong, Lixu Wang, Zhen Fang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 10154-10163
Open Access | Times Cited: 100
Jiahua Dong, Lixu Wang, Zhen Fang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 10154-10163
Open Access | Times Cited: 100
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
Grégoire Petit, Adrian Popescu, Hugo Schindler, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 3900-3909
Open Access | Times Cited: 62
Grégoire Petit, Adrian Popescu, Hugo Schindler, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 3900-3909
Open Access | Times Cited: 62
Deep Class-Incremental Learning: A Survey
Da-Wei Zhou, Qiwei Wang, Zhihong Qi, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 58
Da-Wei Zhou, Qiwei Wang, Zhihong Qi, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 58
Dataset Distillation: A Comprehensive Review
Ruonan Yu, Songhua Liu, Xinchao Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 1, pp. 150-170
Open Access | Times Cited: 56
Ruonan Yu, Songhua Liu, Xinchao Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 1, pp. 150-170
Open Access | Times Cited: 56
Deep continual transfer learning with dynamic weight aggregation for fault diagnosis of industrial streaming data under varying working conditions
Jipu Li, Ruyi Huang, Zhuyun Chen, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101883-101883
Closed Access | Times Cited: 48
Jipu Li, Ruyi Huang, Zhuyun Chen, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101883-101883
Closed Access | Times Cited: 48
Class-Incremental Learning: A Survey
Da-Wei Zhou, Qiwei Wang, Zhihong Qi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 9851-9873
Open Access | Times Cited: 33
Da-Wei Zhou, Qiwei Wang, Zhihong Qi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 9851-9873
Open Access | Times Cited: 33
SAR Target Incremental Recognition Based on Features With Strong Separability
Fei Gao, Lingzhe Kong, Rongling Lang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-13
Open Access | Times Cited: 23
Fei Gao, Lingzhe Kong, Rongling Lang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-13
Open Access | Times Cited: 23
Representation Compensation Networks for Continual Semantic Segmentation
Chang–Bin Zhang, Jia-wen Xiao, Xialei Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 7043-7054
Open Access | Times Cited: 66
Chang–Bin Zhang, Jia-wen Xiao, Xialei Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 7043-7054
Open Access | Times Cited: 66
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning
Qiankun Gao, Chen Zhao, Bernard Ghanem, et al.
Lecture notes in computer science (2022), pp. 423-439
Closed Access | Times Cited: 44
Qiankun Gao, Chen Zhao, Bernard Ghanem, et al.
Lecture notes in computer science (2022), pp. 423-439
Closed Access | Times Cited: 44
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning
Yujun Shi, Kuangqi Zhou, Jian Liang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 16701-16710
Open Access | Times Cited: 42
Yujun Shi, Kuangqi Zhou, Jian Liang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 16701-16710
Open Access | Times Cited: 42
Continual Detection Transformer for Incremental Object Detection
Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 39
Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 39
Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation
Linglan Zhao, Jing Lü, Yunlu Xu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Closed Access | Times Cited: 32
Linglan Zhao, Jing Lü, Yunlu Xu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Closed Access | Times Cited: 32
Class-Incremental Exemplar Compression for Class-Incremental Learning
Zilin Luo, Yaoyao Liu, Bernt Schiele, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 11371-11380
Open Access | Times Cited: 27
Zilin Luo, Yaoyao Liu, Bernt Schiele, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 11371-11380
Open Access | Times Cited: 27
On the Stability-Plasticity Dilemma of Class-Incremental Learning
Dong-Wan Kim, Bohyung Han
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 25
Dong-Wan Kim, Bohyung Han
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 25
Endpoints Weight Fusion for Class Incremental Semantic Segmentation
Jia–Wen Xiao, Chang–Bin Zhang, Jiekang Feng, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. 12365, pp. 7204-7213
Closed Access | Times Cited: 24
Jia–Wen Xiao, Chang–Bin Zhang, Jiekang Feng, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. 12365, pp. 7204-7213
Closed Access | Times Cited: 24
Adaptively forget with crossmodal and textual distillation for class-incremental video captioning
Huiyu Xiong, Lanxiao Wang, Heqian Qiu, et al.
Neurocomputing (2025), pp. 129388-129388
Closed Access | Times Cited: 1
Huiyu Xiong, Lanxiao Wang, Heqian Qiu, et al.
Neurocomputing (2025), pp. 129388-129388
Closed Access | Times Cited: 1
Co-Transport for Class-Incremental Learning
Da-Wei Zhou, Han-Jia Ye, De‐Chuan Zhan
Proceedings of the 30th ACM International Conference on Multimedia (2021)
Open Access | Times Cited: 48
Da-Wei Zhou, Han-Jia Ye, De‐Chuan Zhan
Proceedings of the 30th ACM International Conference on Multimedia (2021)
Open Access | Times Cited: 48
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task
Huiping Zhuang, Zhenyu Weng, Run He, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 7746-7755
Closed Access | Times Cited: 22
Huiping Zhuang, Zhenyu Weng, Run He, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 7746-7755
Closed Access | Times Cited: 22
Online Hyperparameter Optimization for Class-Incremental Learning
Yaoyao Liu, Yingying Li, Bernt Schiele, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 7, pp. 8906-8913
Open Access | Times Cited: 20
Yaoyao Liu, Yingying Li, Bernt Schiele, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 7, pp. 8906-8913
Open Access | Times Cited: 20
A Unified Continual Learning Framework with General Parameter-Efficient Tuning
Qiankun Gao, Chen Zhao, Yifan Sun, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023)
Open Access | Times Cited: 19
Qiankun Gao, Chen Zhao, Yifan Sun, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023)
Open Access | Times Cited: 19
Semantic Knowledge Guided Class-Incremental Learning
Shaokun Wang, Weiwei Shi, Songlin Dong, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 33, Iss. 10, pp. 5921-5931
Closed Access | Times Cited: 17
Shaokun Wang, Weiwei Shi, Songlin Dong, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 33, Iss. 10, pp. 5921-5931
Closed Access | Times Cited: 17
