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20182026
most citedMnemonics Training: Multi-Class Incremental Learning without Forgetting

273 citations · 994 across the 18 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CV2023

Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos

Yaoyao Liu, Yingying Li, Bernt Schiele +1

Not forgetting old class knowledge is a key challenge for class-incremental learning (CIL) when the model continuously adapts to new classes. A common technique to address this is…

eess.IV2023

Continual Learning for Abdominal Multi-Organ and Tumor Segmentation

Yixiao Zhang, Xinyi Li, Huimiao Chen +3

The ability to dynamically extend a model to new data and classes is critical for multiple organ and tumor segmentation. However, due to privacy regulations, accessing previous dat…

cs.CV2023★ 1 cited

Generating Images with 3D Annotations Using Diffusion Models

Wufei Ma, Qihao Liu, Jiahao Wang +11

Diffusion models have emerged as a powerful generative method, capable of producing stunning photo-realistic images from natural language descriptions. However, these models lack e…

cs.CV2023★ 5 cited

Class-Incremental Exemplar Compression for Class-Incremental Learning

Zilin Luo, Yaoyao Liu, Bernt Schiele +1

Exemplar-based class-incremental learning (CIL) finetunes the model with all samples of new classes but few-shot exemplars of old classes in each incremental phase, where the "few-…

cs.CV2023★ 5 cited

Continual Detection Transformer for Incremental Object Detection

Yaoyao Liu, Bernt Schiele, Andrea Vedaldi +1

Incremental object detection (IOD) aims to train an object detector in phases, each with annotations for new object categories. As other incremental settings, IOD is subject to cat…

cs.CV2023★ 36 cited

RMM: Reinforced Memory Management for Class-Incremental Learning

Yaoyao Liu, Bernt Schiele, Qianru Sun

Class-Incremental Learning (CIL) [40] trains classifiers under a strict memory budget: in each incremental phase, learning is done for new data, most of which is abandoned to free…

cs.LG2023★ 34 cited

Online Hyperparameter Optimization for Class-Incremental Learning

Yaoyao Liu, Yingying Li, Bernt Schiele +1

Class-incremental learning (CIL) aims to train a classification model while the number of classes increases phase-by-phase. An inherent challenge of CIL is the stability-plasticity…