Deep models, eg, CNNs and Vision Transformers, have achieved impressive achievements in many vision tasks in the closed world. However, novel classes emerge from time to time in …
Z Song, Y Zhao, Y Shi, P Peng… - Proceedings of the …, 2023 - openaccess.thecvf.com
Few-shot class-incremental learning (FSCIL) aims at learning to classify new classes continually from limited samples without forgetting the old classes. The mainstream …
J Dong, W Liang, Y Cong… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Class-incremental learning (CIL) has achieved remarkable successes in learning new classes consecutively while overcoming catastrophic forgetting on old categories. However …
DW Zhou, HL Sun, HJ Ye… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Abstract Class-Incremental Learning (CIL) requires a learning system to continually learn new classes without forgetting. Despite the strong performance of Pre-Trained Models …
YM Tang, YX Peng, WS Zheng - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Incremental learning aims to overcome catastrophic forgetting when learning deep networks from sequential tasks. With impressive learning efficiency and performance, prompt-based …
EL Aleixo, JG Colonna, M Cristo… - arXiv preprint arXiv …, 2023 - arxiv.org
Deep Learning models have achieved remarkable performance in tasks such as image classification or generation, often surpassing human accuracy. However, they can struggle …
Class-Incremental Learning (CIL) or continual learning is a desired capability in the real world, which requires a learning system to adapt to new tasks without forgetting former ones …
Federated learning (FL) is a hot collaborative training framework via aggregating model parameters of decentralized local clients. However, most FL methods unreasonably assume …
Y Pei, Z Qing, S Zhang, X Wang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Recently, prompt-based learning has made impressive progress on image class- incremental learning, but it still lacks sufficient exploration in the video domain. In this paper …