GEM方向的后续改进还有Efficient Lifelong Learning with A-GEM (ICLR 2019)和Gradient based sample selection for online continual learning (NIPS 2019)。 另外,也有一些工作将VAE和GAN的思想引入了增量学习,比如Variational Continual Learning (ICLR 2018)指出了增量学习的贝叶斯性质,将在线变分推理和蒙特卡洛采样引入...
Incremental Learning of Object Detectors without Catastrophic Forgetting详解,程序员大本营,技术文章内容聚合第一站。
我们在评估部分评估并比较了两种实现方式。 4 Incremental learning algorithm 4.1 Recap for One-stage Object Detector 对象检测的目的是识别一组预定义的对象类别(例如人,汽车,自行车,动物)的实例,并使用边界框描述图像中每个检测到的对象的位置。较早的端到端深度学习方法采用两阶段体系结构,该体系结构首先使用区域...
另外,也有一些工作将VAE和GAN的思想引入了增量学习,比如Variational Continual Learning (ICLR 2018)[19]指出了增量学习的贝叶斯性质,将在线变分推理和蒙特卡洛采样引入了增量学习,Continual Learning with Deep Generative Replay (NIPS 2017)[20]通过训练GAN来生成旧数据,从而避免了基于回放的方法潜在的数据隐私问题,这本...
Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal, "Expanding Object Detector's Horizon: In- cremental Learning Framework for Object Detection in Videos", in CVPR2015.A. Kuznetsova, S.J. Hwang, B. Rosenhahn, L. Sigal, Expanding object detector's horizon: incremental learning ...
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks[22] 目标检测 Incremental Few-Shot Object Detection (CVPR 2020)[23] Incremental Learning of Object Detectors without Catastrophic Forgetting (ICCV 2017)[24] 语义分割 ...
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks[22] 目标检测 Incremental Few-Shot Object Detection (CVPR 2020)[23] Incremental Learning of Object Detectors without Catastrophic Forgetting (ICCV 2017)[24] 语义分割 Modeling the Background for Incremental Learning in Semantic...
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks[22] 目标检测 Incremental Few-Shot Object Detection (CVPR 2020)[23] Incremental Learning of Object Detectors without Catastrophic Forgetting (ICCV 2017)[24] 语义分割 ...
K. He, X. Zhang, S. Ren, and J. Sun. Deep residual learning for image recognition. InProceedings of the IEEE conference on computer vision and pattern recognition, pages 770–778, 2016. 3 J. Huang, V. Rathod, C. Sun, M. Zhu, A. Korattikara, A. Fathi, I. Fischer, Z.Wojna, ...
Continual Detection Transformer for Incremental Object Detection 出处:CVPR2023(Highlight) 代码:未公开 想法:在DETR范式的目标检测方法中讨论增量学习这个问题。针对增量学习常用的方法:知识蒸馏(KD)和模板重放(ER)结合DETR范式特点提出改进方案,实现了强大的性能提升。 方法: Detector knowledge distillation。针对DETR ...