iCaRL: Incremental Classifier and Representation Learning

Cited by (1,014)

Items 101–200 of 1,014

1. Dataset Condensation with Gradient Matching
   Bo Zhao, Konda Reddy Mopuri, Hakan Bilen · 2020 · arXiv (Cornell University)
2. Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
   Soravit Changpinyo, Wei‐Lun Chao, Fei Sha · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
3. CAFE: Learning to Condense Dataset by Aligning Features
   Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Dong Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
4. Adversarial Continual Learning
   Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach · 2020 · Lecture notes in computer science
5. Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
   Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, De‐Chuan Zhan, Ziwei Liu · 2024 · International Journal of Computer Vision
6. MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning
   Zhixiang Chi, Li Gu, Huan Liu, Yang Wang, Yuanhao Yu, Jin Tang · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
7. FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
   Grégoire Petit, Adrian Popescu, Hugo Schindler, David Picard, Bertrand Delezoide · 2023 · IEEE Winter Conference on Applications of Computer Vision
8. Memory-Efficient Incremental Learning Through Feature Adaptation
   Ahmet İşcen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid · 2020 · Lecture notes in computer science
9. Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
   James Smith, Yen-Chang Hsu, Jonathan Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
10. Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting
    Sanyuan Chen, Yutai Hou, Yiming Cui, Wanxiang Che, Ting Liu, Xiangzhan Yu · 2020 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
11. Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
    Da-Wei Zhou, Han-Jia Ye, Liang Ma, Di Xie, Shiliang Pu, De-Chuan Zhan · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
12. Constrained Few-shot Class-incremental Learning
    Hersche, Michael, Karunaratne, Geethan, Cherubini, Giovanni, Benini, Luca, Sebastian, Abu, Rahimi, Abbas · 2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
13. Topology-Preserving Class-Incremental Learning
    Tao, Xiaoyu, Chang, Xinyuan, Hong, Xiaopeng, Wei, Xing, Gong, Yihong · 2020 · Lecture Notes in Computer Science
14. Loss of plasticity in deep continual learning
    Dohare, Shibhansh, Hernandez-Garcia, J. Fernando, Lan, Qingfeng, Rahman, Parash, Mahmood, A. Rupam, Sutton, Richard S. · 2024 · Nature
15. Recent Advances in Zero-Shot Recognition: Toward Data-Efficient Understanding of Visual Content
    Yanwei Fu, Tao Xiang, Yu–Gang Jiang, Xiangyang Xue, Leonid Sigal, Shaogang Gong · 2018 · IEEE Signal Processing Magazine
16. Few-Shot Class-Incremental Learning via Relation Knowledge Distillation
    Dong, Songlin, Hong, Xiaopeng, Tao, Xiaoyu, Chang, Xinyuan, Wei, Xing, Gong, Yihong · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
17. Generative replay with feedback connections as a general strategy for continual learning
    Gido M. van de Ven, Andreas Savas Tolias · 2018 · Lirias
18. Towards Robust Pattern Recognition: A Review
    Xu-Yao Zhang, Cheng‐Lin Liu, Ching Y. Suen · 2020 · Proceedings of the IEEE
19. Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
    Umberto Michieli, Pietro Zanuttigh · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
20. A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
    Farhad MortezaPour Shiri, T. Perumal, N. Mustapha, Raihani Mohamed · 2023 · Journal of Artificial Intelligence
21. AutoNovel: Automatically Discovering and Learning Novel Visual Categories
    Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
22. Self-Supervised Models are Continual Learners
    Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
23. Increasing the robustness of material-specific deep learning models for crack detection across different materials
    Mohamad Alipour, Devin K. Harris · 2020 · Engineering Structures
24. Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
    Tyler L. Hayes, Christopher Kanan · 2020 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
25. Incremental learning for the detection and classification of GAN-generated images
    Marra, Francesco, Saltori, Cristiano, Boato, Giulia, Verdoliva, Luisa · 2019 · 2019 IEEE International Workshop on Information Forensics and Security (WIFS)
26. iTAML: An Incremental Task-Agnostic Meta-learning Approach
    Jathushan Rajasegaran, Salman Hameed Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak A. Shah · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
27. Deep Learning for Time-Series Prediction in IIoT: Progress, Challenges, and Prospects
    Lei Ren, Zidi Jia, Yuanjun Laili, Di Huang · 2023 · IEEE Transactions on Neural Networks and Learning Systems
28. Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data
    Onur Taşar, Yuliya Tarabalka, Pierre Alliez · 2019 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
29. MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction
    Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
30. Dataset Distillation: A Comprehensive Review
    Ruonan Yu, Songhua Liu, Xinchao Wang · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
31. Faster ILOD: Incremental learning for object detectors based on faster RCNN
    Can Peng, Kun Zhao, Brian C. Lovell · 2020 · Pattern Recognition Letters
32. RECALL: Replay-based Continual Learning in Semantic Segmentation
    Andrea Maracani, Umberto Michieli, Marco Toldo, Pietro Zanuttigh · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
33. Generative Models from the perspective of Continual Learning
    Timothée Lesort, Hugo Caselles-Dupré, Michael Garcia-Ortiz, Andrei Stoian, David Filliat · 2019 · International Joint Conference on Neural Networks (IJCNN)
34. A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning
    Soochan Lee, Junsoo Ha, Dongsu Zhang, Gunhee Kim · 2020 · arXiv (Cornell University)
35. Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay
    Fan Zhou, Chengtai Cao · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
36. Avalanche: an End-to-End Library for Continual Learning
    Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven et al. · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
37. A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning
    Martin Mundt, Yongwon Hong, Iuliia Pliushch, Visvanathan Ramesh · 2023 · Neural Networks
38. Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
    Jiazuo Yu, Yunzhi Zhuge, Lu Zhang, Ping Hu, Dong Wang, Huchuan Lu, You He · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
39. Generative Feature Replay For Class-Incremental Learning
    Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer · 2020 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
40. Federated Continual Learning via Knowledge Fusion: A Survey
    Xin Yang, Hao Yu, Xin Gao, Hao Wang, Junbo Zhang, Tianrui Li · 2024 · IEEE Transactions on Knowledge and Data Engineering
41. Supermasks in Superposition
    Wortsman, Mitchell, Ramanujan, Vivek, Liu, Rosanne, Kembhavi, Aniruddha, Rastegari, Mohammad, Yosinski, Jason, Farhadi, Ali · 2020 · arXiv
42. Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
    Da-Wei Zhou, Hailong Sun, Han-Jia Ye, De‐Chuan Zhan · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
43. On Learning the Geodesic Path for Incremental Learning
    Christian Simon, Piotr Koniusz, Mehrtash Tafazzoli Harandi · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
44. Class-Incremental Continual Learning Into the eXtended DER-Verse
    Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, Angelo Porrello, Simone Calderara · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
45. Gradient Projection Memory for Continual Learning
    Saha, Gobinda, Garg, Isha, Roy, Kaushik · 2021 · arXiv
46. Robust Test-Time Adaptation in Dynamic Scenarios
    Longhui Yuan, Binhui Xie, Shuang Li · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
47. Sentence Embedding Alignment for Lifelong Relation Extraction
    Wang, Hong, Xiong, Wenhan, Yu, Mo, Guo, Xiaoxiao, Chang, Shiyu, Wang, William Yang · 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
48. Learning and the Unknown: Surveying Steps toward Open World Recognition
    Terrance E. Boult, S. Sánchez Cruz, Akshay Raj Dhamija, Manuel Günther, James Henrydoss, Walter J. Scheirer · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
49. Overcoming Catastrophic Forgetting in Graph Neural Networks
    Liu, Huihui, Yang, Yiding, Wang, Xinchao · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
50. Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks
    Khadija Shaheen, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique · 2022 · Journal of Intelligent & Robotic Systems
51. Few-Shot Lifelong Learning
    Pratik Mazumder, Pravendra Pratap Singh, Piyush Rai · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
52. Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
    Marcos F. Criado, Fernando E. Casado, Roberto Iglesias, Carlos V. Regueiro, Senén Barro · 2022 · Information Fusion
53. Representation Compensation Networks for Continual Semantic Segmentation
    Chang–Bin Zhang, Jia-wen Xiao, Xialei Liu, Ying-Cong Chen, Ming‐Ming Cheng · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
54. Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation
    Feng, Tao, Wang, Mang, Yuan, Hangjie · 2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
55. Incremental Few-Shot Learning with Attention Attractor Networks
    Mengye Ren, Renjie Liao, Ethan Fetaya, Richard S. Zemel · 2018 · arXiv (Cornell University)
56. Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing
    Syed Shakib Sarwar, Aayush Ankit, Kaushik Roy · 2019 · IEEE Access
57. Training Networks in Null Space of Feature Covariance for Continual Learning
    Shipeng Wang, Xiaorong Li, Jian Sun, Zongben Xu · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
58. Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
    Zeyin Song, Yifan Zhao, Yujun Shi, Pei-Xi Peng, Liuliang Yuan, Yonghong Tian · 2023 · Computer Vision and Pattern Recognition
59. An Appraisal of Incremental Learning Methods
    Luo, Yong, Yin, Liancheng, Bai, Wenchao, Mao, Keming · 2020 · Entropy
60. GCR: Gradient Coreset based Replay Buffer Selection for Continual Learning
    Rishabh Tiwari, Krishnateja Killamsetty, Rishabh Iyer, Pradeep Shenoy · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
61. Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
    Anusha Nagabandi, Chelsea Finn, Sergey Levine · 2018 · arXiv (Cornell University)
62. SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding
    Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari · 2024 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
63. FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning
    Kim, Minha, Tariq, Shahroz, Woo, Simon S. · 2021 · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
64. PROB: Probabilistic Objectness for Open World Object Detection
    Orr Zohar, Kuan-Chieh Jackson Wang, Serena Y. Yeung · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
65. A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges
    Salehi, Mohammadreza, Mirzaei, Hossein, Hendrycks, Dan, Li, Yixuan, Rohban, Mohammad Hossein, Sabokrou, Mohammad · 2021 · arXiv
66. Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization
    German Ignacio Parisi, Jun Tani, Cornelius Weber, Stefan Wermter · 2018 · Institutional Repositories DataBase (IRDB)
67. Rethinking Experience Replay: a Bag of Tricks for Continual Learning
    Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
68. Online autonomous calibration of digital twins using machine learning with application to nuclear power plants
    Houde Song, Meiqi Song, Xiaojing Liu · 2022 · Applied Energy
69. Incremental Object Detection via Meta-Learning
    K J Joseph, Jathushan Rajasegaran, Salman Hameed Khan, Fahad Shahbaz Khan, Vineeth Nallure Balasubramanian · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
70. Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning
    Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
71. MgSvF: Multi-Grained Slow versus Fast Framework for Few-Shot Class-Incremental Learning
    Zhao, Hanbin, Fu, Yongjian, Kang, Mintong, Tian, Qi, Wu, Fei, Li, Xi · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
72. A Comprehensive Survey of Dataset Distillation
    Shiye Lei, Dacheng Tao · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
73. Streaming Graph Neural Networks via Continual Learning
    Jun-Shan Wang, Guojie Song, Yi Wu, Liang Wang · 2020 · International Conference on Information and Knowledge Management
74. Essentials for Class Incremental Learning
    Sudhanshu Mittal, Silvio Galesso, Thomas Brox · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
75. Memory-Efficient Class-Incremental Learning for Image Classification
    Hanbin Zhao, Hui Wang, Yongjian Fu, Fei Qing Wu, Xi Li · 2021 · IEEE Transactions on Neural Networks and Learning Systems
76. Few-Shot Class-Incremental Learning from an Open-Set Perspective
    Peng, Can, Zhao, Kun, Wang, Tianren, Li, Meng, Lovell, Brian C. · 2022 · Lecture Notes in Computer Science
77. Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation
    Zhao, Linglan, Lu, Jing, Xu, Yunlu, Cheng, Zhanzhan, Guo, Dashan, Niu, Yi, Fang, Xiangzhong · 2023 · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
78. FL-IIDS: A novel federated learning-based incremental intrusion detection system
    Zhigang Jin, Junyi Zhou, Bing Li, Xiaodong Wu, Chenxu Duan · 2023 · Future Generation Computer Systems
79. Lifelong Person Re-Identification via Adaptive Knowledge Accumulation
    Nan Pu, Wei Ren Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
80. Dynamic Memory to Alleviate Catastrophic Forgetting in Continual Learning with Medical Imaging
    Perkonigg, Matthias, Hofmanninger, Johannes, Herold, Christian J., Brink, James A., Pianykh, Oleg, Prosch, Helmut, Langs, Georg · 2021 · Nature Communications
81. Deep Incremental Hashing Network for Efficient Image Retrieval
    Dayan Wu, Qi Dai, Jing Liu, Bo Li, Weiping Wang · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
82. Replay in Deep Learning: Current Approaches and Missing Biological Elements
    Hayes, Tyler L., Krishnan, Giri P., Bazhenov, Maxim, Siegelmann, Hava T., Sejnowski, Terrence J., Kanan, Christopher · 2021 · Neural Computation
83. ACE: Adapting to Changing Environments for Semantic Segmentation
    Zuxuan Wu, Xin Wang, Joseph E. Gonzalez, Tom Goldstein, Larry Steven Davis · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
84. Continual Learning for Blind Image Quality Assessment
    Weixia Zhang, Dingquan Li, Chao Ma, Guangtao Zhai, Xiaokang Yang, Kede Ma · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
85. PyCIL: a Python toolbox for class-incremental learning
    Da-Wei Zhou, Fuyun Wang, Han-Jia Ye, De‐Chuan Zhan · 2023 · Science China Information Sciences
86. Continual Relation Learning via Episodic Memory Activation and Reconsolidation
    Han, Xu, Dai, Yi, Gao, Tianyu, Lin, Yankai, Liu, Zhiyuan, Li, Peng, Sun, Maosong, Zhou, Jie · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
87. A Unified Continual Learning Framework with General Parameter-Efficient Tuning
    Qiankun Gao, Chen Zhao, Yifan Sun, Teng Xi, Gang Zhang, Bernard Ghanem, Jian Zhang · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
88. Dataset Condensation with Differentiable Siamese Augmentation
    Bo Zhao, Hakan Bilen · 2021 · arXiv (Cornell University)
89. Automatically Discovering and Learning New Visual Categories with Ranking Statistics
    Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman · 2020 · arXiv (Cornell University)
90. Open-world Learning and Application to Product Classification
    Hu Xu, Bing Liu, Lei Shu, P. Yu · 2019 · International World Wide Web Conference (WWW)
91. Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay
    Huan Liu, Li Gu, Zhixiang Chi, Yang Wang, Yuanhao Yu, Jun Chen, Jin Tang · 2022 · Lecture notes in computer science
92. Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
    Zangwei Zheng, Mingyuan Ma, Kai Wang, Ziheng Qin, Xiangyu Yue, Yang You · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
93. Coresets via Bilevel Optimization for Continual Learning and Streaming
    Zalán Borsos, Mojmír Mutný, Andreas Krause · 2020 · arXiv (Cornell University)
94. Untitled work
    Li D, Tasci S, Ghosh S, Zhu J, Zhang J, Heck L · 2019 · Proceedings of the 4th ACM/IEEE Symposium on Edge Computing · 10.1145/3318216.3363317
95. Continual Detection Transformer for Incremental Object Detection
    Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
96. Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs
    Yuwei Cao, Hao Ming Peng, Jia Xin Wu, Yingtong Dou, Jianxin Li, Philip S. Yu · 2021 · International World Wide Web Conference (WWW)
97. An End-to-End Architecture for Class-Incremental Object Detection with Knowledge Distillation
    Hao, Yu, Fu, Yanwei, Jiang, Yu-Gang, Tian, Qi · 2019 · 2019 IEEE International Conference on Multimedia and Expo (ICME)
98. Few-Shot Class-Incremental Learning for Medical Time Series Classification
    Le Sun, Mingyang Zhang, Benyou Wang, Prayag Tiwari · 2023 · IEEE Journal of Biomedical and Health Informatics
99. Open Set Incremental Learning for Automatic Target Recognition
    Sihang Dang, Zongjie Cao, Zongyong Cui, Yiming Pi, Nengyuan Liu · 2019 · IEEE Transactions on Geoscience and Remote Sensing
100. Cross-Domain Class Incremental Broad Network for Continuous Diagnosis of Rotating Machinery Faults Under Variable Operating Conditions
     Mingkuan Shi, Chuancang Ding, Shuyuan Chang, Changqing Shen, Weiguo Huang, Zhongkui Zhu · 2024 · IEEE Transactions on Industrial Informatics