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:
Learning a Unified Classifier Incrementally via Rebalancing
Saihui Hou, Xinyu Pan, Chen Change Loy, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
Closed Access | Times Cited: 881
Saihui Hou, Xinyu Pan, Chen Change Loy, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
Closed Access | Times Cited: 881
Showing 1-25 of 881 citing articles:
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
Arthur Douillard, Matthieu Cord, Charles Ollion, et al.
Lecture notes in computer science (2020), pp. 86-102
Closed Access | Times Cited: 384
Arthur Douillard, Matthieu Cord, Charles Ollion, et al.
Lecture notes in computer science (2020), pp. 86-102
Closed Access | Times Cited: 384
GDumb: A Simple Approach that Questions Our Progress in Continual Learning
Ameya Prabhu, Philip H. S. Torr, Puneet K. Dokania
Lecture notes in computer science (2020), pp. 524-540
Closed Access | Times Cited: 370
Ameya Prabhu, Philip H. S. Torr, Puneet K. Dokania
Lecture notes in computer science (2020), pp. 524-540
Closed Access | Times Cited: 370
Class-Incremental Learning: Survey and Performance Evaluation on Image Classification
Marc Masana, Xialei Liu, Bartłomiej Twardowski, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 5, pp. 5513-5533
Open Access | Times Cited: 356
Marc Masana, Xialei Liu, Bartłomiej Twardowski, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 5, pp. 5513-5533
Open Access | Times Cited: 356
Maintaining Discrimination and Fairness in Class Incremental Learning
Bowen Zhao, Xi Xiao, Guojun Gan, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 13205-13214
Open Access | Times Cited: 352
Bowen Zhao, Xi Xiao, Guojun Gan, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 13205-13214
Open Access | Times Cited: 352
DER: Dynamically Expandable Representation for Class Incremental Learning
Shipeng Yan, Jiangwei Xie, Xuming He
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 344
Shipeng Yan, Jiangwei Xie, Xuming He
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 344
Few-Shot Class-Incremental Learning
Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 12180-12189
Open Access | Times Cited: 310
Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 12180-12189
Open Access | Times Cited: 310
Mnemonics Training: Multi-Class Incremental Learning Without Forgetting
Yaoyao Liu, Yuting Su, An-An Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 12242-12251
Open Access | Times Cited: 299
Yaoyao Liu, Yuting Su, An-An Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 12242-12251
Open Access | Times Cited: 299
Online continual learning in image classification: An empirical survey
Zheda Mai, Ruiwen Li, Jihwan Jeong, et al.
Neurocomputing (2021) Vol. 469, pp. 28-51
Open Access | Times Cited: 269
Zheda Mai, Ruiwen Li, Jihwan Jeong, et al.
Neurocomputing (2021) Vol. 469, pp. 28-51
Open Access | Times Cited: 269
Semantic Drift Compensation for Class-Incremental Learning
Lu Yu, Bartłomiej Twardowski, Xialei Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 6980-6989
Open Access | Times Cited: 246
Lu Yu, Bartłomiej Twardowski, Xialei Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 6980-6989
Open Access | Times Cited: 246
Prototype Augmentation and Self-Supervision for Incremental Learning
Fei Zhu, Xu-Yao Zhang, Chuang Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Closed Access | Times Cited: 241
Fei Zhu, Xu-Yao Zhang, Chuang Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Closed Access | Times Cited: 241
Modeling the Background for Incremental Learning in Semantic Segmentation
Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 9230-9239
Open Access | Times Cited: 222
Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 9230-9239
Open Access | Times Cited: 222
Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks
Lin Wang, Kuk‐Jin Yoon
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 6, pp. 3048-3068
Open Access | Times Cited: 218
Lin Wang, Kuk‐Jin Yoon
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 6, pp. 3048-3068
Open Access | Times Cited: 218
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
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Tyler L. Hayes, Kushal Kafle, Robik Shrestha, et al.
Lecture notes in computer science (2020), pp. 466-483
Closed Access | Times Cited: 197
Tyler L. Hayes, Kushal Kafle, Robik Shrestha, et al.
Lecture notes in computer science (2020), pp. 466-483
Closed Access | Times Cited: 197
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
Arthur Douillard, Alexandre Ramé, Guillaume Couairon, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 197
Arthur Douillard, Alexandre Ramé, Guillaume Couairon, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 197
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
PLOP: Learning without Forgetting for Continual Semantic Segmentation
Arthur Douillard, Yifu Chen, Arnaud Dapogny, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 166
Arthur Douillard, Yifu Chen, Arnaud Dapogny, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 166
A comprehensive study of class incremental learning algorithms for visual tasks
Eden Belouadah, Adrian Popescu, Ioannis Kanellos
Neural Networks (2020) Vol. 135, pp. 38-54
Open Access | Times Cited: 163
Eden Belouadah, Adrian Popescu, Ioannis Kanellos
Neural Networks (2020) Vol. 135, pp. 38-54
Open Access | Times Cited: 163
Incremental Learning Using Conditional Adversarial Networks
Ye Xiang, Ying Fu, Pan Ji, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 6618-6627
Closed Access | Times Cited: 155
Ye Xiang, Ying Fu, Pan Ji, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 6618-6627
Closed Access | Times Cited: 155
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
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
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning
Ali Cheraghian, Shafin Rahman, Pengfei Fang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 2534-2543
Open Access | Times Cited: 133
Ali Cheraghian, Shafin Rahman, Pengfei Fang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 2534-2543
Open Access | Times Cited: 133
SS-IL: Separated Softmax for Incremental Learning
Hongjoon Ahn, Jihwan Kwak, Subin Lim, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 824-833
Open Access | Times Cited: 125
Hongjoon Ahn, Jihwan Kwak, Subin Lim, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 824-833
Open Access | Times Cited: 125
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
