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:
Forward Compatible Few-Shot Class-Incremental Learning
Da-Wei Zhou, Fuyun Wang, Han-Jia Ye, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 9036-9046
Open Access | Times Cited: 151
Da-Wei Zhou, Fuyun Wang, Han-Jia Ye, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 9036-9046
Open Access | Times Cited: 151
Showing 1-25 of 151 citing articles:
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang, Xingxing Zhang, Hang Su, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5362-5383
Open Access | Times Cited: 179
Liyuan Wang, Xingxing Zhang, Hang Su, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5362-5383
Open Access | Times Cited: 179
FOSTER: Feature Boosting and Compression for Class-Incremental Learning
Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, et al.
Lecture notes in computer science (2022), pp. 398-414
Closed Access | Times Cited: 154
Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, et al.
Lecture notes in computer science (2022), pp. 398-414
Closed Access | Times Cited: 154
A survey on few-shot class-incremental learning
Songsong Tian, Lusi Li, Weijun Li, et al.
Neural Networks (2023) Vol. 169, pp. 307-324
Open Access | Times Cited: 60
Songsong Tian, Lusi Li, Weijun Li, et al.
Neural Networks (2023) Vol. 169, pp. 307-324
Open Access | Times Cited: 60
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
Few-Shot Class-Incremental Learning for Medical Time Series Classification
Le Sun, Mingyang Zhang, Benyou Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 4, pp. 1872-1882
Closed Access | Times Cited: 55
Le Sun, Mingyang Zhang, Benyou Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 4, pp. 1872-1882
Closed Access | Times Cited: 55
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, et al.
International Journal of Computer Vision (2024)
Closed Access | Times Cited: 34
Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, et al.
International Journal of Computer Vision (2024)
Closed Access | Times Cited: 34
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
Learning optimal inter-class margin adaptively for few-shot class-incremental learning via neural collapse-based meta-learning
Hang Ran, Weijun Li, Lusi Li, et al.
Information Processing & Management (2024) Vol. 61, Iss. 3, pp. 103664-103664
Open Access | Times Cited: 20
Hang Ran, Weijun Li, Lusi Li, et al.
Information Processing & Management (2024) Vol. 61, Iss. 3, pp. 103664-103664
Open Access | Times Cited: 20
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Da-Wei Zhou, Han-Jia Ye, Liang Ma, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-16
Closed Access | Times Cited: 61
Da-Wei Zhou, Han-Jia Ye, Liang Ma, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-16
Closed Access | Times Cited: 61
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
Zeyin Song, Yifan Zhao, Yujun Shi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 24183-24192
Open Access | Times Cited: 39
Zeyin Song, Yifan Zhao, Yujun Shi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 24183-24192
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
Memorizing Complementation Network for Few-Shot Class-Incremental Learning
Zhong Ji, Zhishen Hou, Xiyao Liu, et al.
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 937-948
Open Access | Times Cited: 30
Zhong Ji, Zhishen Hou, Xiyao Liu, et al.
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 937-948
Open Access | Times Cited: 30
Few-Shot Class-Incremental SAR Target Recognition Based on Hierarchical Embedding and Incremental Evolutionary Network
Li Wang, Xinyao Yang, Haoyue Tan, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-11
Closed Access | Times Cited: 27
Li Wang, Xinyao Yang, Haoyue Tan, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-11
Closed Access | Times Cited: 27
A Few-Shot Class-Incremental Learning Method for Network Intrusion Detection
Lei Du, Zhaoquan Gu, Ye Wang, et al.
IEEE Transactions on Network and Service Management (2023) Vol. 21, Iss. 2, pp. 2389-2401
Closed Access | Times Cited: 19
Lei Du, Zhaoquan Gu, Ye Wang, et al.
IEEE Transactions on Network and Service Management (2023) Vol. 21, Iss. 2, pp. 2389-2401
Closed Access | Times Cited: 19
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning
Zhuowei Li, L. Zhao, Zizhao Zhang, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 2511-2521
Open Access | Times Cited: 7
Zhuowei Li, L. Zhao, Zizhao Zhang, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 2511-2521
Open Access | Times Cited: 7
Few-shot incremental learning with continual prototype calibration for remote sensing image fine-grained classification
Zining Zhu, Peijin Wang, Wenhui Diao, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 196, pp. 210-227
Closed Access | Times Cited: 14
Zining Zhu, Peijin Wang, Wenhui Diao, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 196, pp. 210-227
Closed Access | Times Cited: 14
Pseudo-set Frequency Refinement architecture for fine-grained few-shot class-incremental learning
Zicheng Pan, Weichuan Zhang, Xiaohan Yu, et al.
Pattern Recognition (2024) Vol. 155, pp. 110686-110686
Open Access | Times Cited: 6
Zicheng Pan, Weichuan Zhang, Xiaohan Yu, et al.
Pattern Recognition (2024) Vol. 155, pp. 110686-110686
Open Access | Times Cited: 6
Analogical Learning-Based Few-Shot Class-Incremental Learning
Jiashuo Li, Songlin Dong, Yihong Gong, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 7, pp. 5493-5504
Closed Access | Times Cited: 5
Jiashuo Li, Songlin Dong, Yihong Gong, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 7, pp. 5493-5504
Closed Access | Times Cited: 5
FSCIL-EACA: Few-Shot Class-Incremental Learning Network Based on Embedding Augmentation and Classifier Adaptation for Image Classification
Ruru Zhang, E Haihong, Meina Song
Chinese Journal of Electronics (2024) Vol. 33, Iss. 1, pp. 139-152
Open Access | Times Cited: 5
Ruru Zhang, E Haihong, Meina Song
Chinese Journal of Electronics (2024) Vol. 33, Iss. 1, pp. 139-152
Open Access | Times Cited: 5
Cross-Domain Few-Shot Incremental Learning for Point-Cloud Recognition
Yuwen Tan, Xiang Xiang
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 2296-2305
Closed Access | Times Cited: 5
Yuwen Tan, Xiang Xiang
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 2296-2305
Closed Access | Times Cited: 5
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning
Yawen Cui, Wanxia Deng, Haoyu Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 14259-14272
Open Access | Times Cited: 13
Yawen Cui, Wanxia Deng, Haoyu Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 14259-14272
Open Access | Times Cited: 13
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning
Aristeidis Panos, Yuriko Kobe, Daniel Olmeda Reino, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 18774-18784
Open Access | Times Cited: 12
Aristeidis Panos, Yuriko Kobe, Daniel Olmeda Reino, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 18774-18784
Open Access | Times Cited: 12
Gradient Guided Multiscale Feature Collaboration Networks for Few-Shot Class-Incremental Remote Sensing Scene Classification
Wuli Wang, Li Zhang, Sichao Fu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-12
Closed Access | Times Cited: 4
Wuli Wang, Li Zhang, Sichao Fu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-12
Closed Access | Times Cited: 4
Domain-aware triplet loss in domain generalization
Kaiyu Guo, Brian C. Lovell
Computer Vision and Image Understanding (2024) Vol. 243, pp. 103979-103979
Open Access | Times Cited: 4
Kaiyu Guo, Brian C. Lovell
Computer Vision and Image Understanding (2024) Vol. 243, pp. 103979-103979
Open Access | Times Cited: 4
DyCR: A Dynamic Clustering and Recovering Network for Few-Shot Class-Incremental Learning
Zicheng Pan, Xiaohan Yu, Miaohua Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024), pp. 1-14
Open Access | Times Cited: 4
Zicheng Pan, Xiaohan Yu, Miaohua Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024), pp. 1-14
Open Access | Times Cited: 4
