An Incremental Knowledge Learning Framework for Continuous ...

This article proposes an incremental knowledge learning framework (IKLF) for CDD. The proposed framework follows the pretrain-finetuning paradigm.

Chan-Sun/IFSDD: [IEEE TIM] An Incremental Knowledge ... - GitHub

This paper proposes an Incremental Knowledge Learning Framework (IKLF) for continuous defect detection. The proposed framework follows the pretrain-finetuning ...

An Incremental Knowledge Learning Framework for Continuous Defect Detection. Chen Sun , Liang Gao , Senior Member, IEEE, Xinyu Li , Member, IEEE, Pai Zheng ...

An Incremental Knowledge Learning Framework for Continuous ...

To realize end-to-end fine-tuning for novel categories, an Incremental RCNN module is proposed to calculate cosine-similarity features of defects and decouple ...

Scalable Continual Learning Framework for Memory-efficient ... - arXiv

Furthermore, we propose an uncertain surface knowledge distillation strategy to transfer the radiance field knowledge of previous scenes to the ...

Incremental learning - Wikipedia

In computer science, incremental learning is a method of machine learning in which input data is continuously used to extend the existing model's knowledge ...

Towards a General Framework for Continual Learning with Pre ...

knowledge in backbone parameters cannot be updated and enriched from incremental tasks, which has been rarely discussed in previous literature. Motivated by ...

Incremental Learning | Papers With Code

Incremental learning aims to develop artificially intelligent systems that can continuously learn to address new tasks from new data while preserving knowledge.

An Incremental Learning Framework to Enhance Teaching by ...

This framework combines the superiority of the incremental learning network and the multiple sensors fusion. Multimodal sensor fusion is a ...

Awesome Incremental Learning Techniques | Restackio

Explore effective incremental learning strategies to enhance your continual learning process and improve knowledge retention. The framework for ...

SCREAM: Knowledge sharing and compact representation for class ...

Incremental learning is a model of continuously learning and accumulating ... We develop a Knowledge sharing incremental learning framework to integrate the ...

iETA: A Robust and Scalable Incremental Learning Framework for ...

... knowledge from previous ETA predictors under the incremental learning setting. ... Framework Based on Graph Neural Networks and Continual Learning.

A Bilevel Memory Framework With Knowledge Projection for Task ...

Incremental learning requires models to learn new knowl- edge incrementally without forgetting [18]. Specifically, this work focuses on task incremental ...

Three types of incremental learning - PMC - PubMed Central

Despite its scope, continual learning research is relatively unstructured and the field lacks a shared framework. Because of an abundance of ...

Incremental Learning - Papers With Code

Continual Imitation Learning (CiL) involves extracting and accumulating task knowledge ... incremental learning framework that adjusts the training weights ...

(PDF) IncSAR: A Dual Fusion Incremental Learning Framework for ...

Models' tendency to forget old knowledge when learning new tasks, known as catastrophic forgetting, remains an open challenge. In this paper, an ...

Three types of incremental learning: a framework for continual learning

a framework for continual learning. Page 2. What is continual learning ... • Requires knowledge of task identity at test time. • Representative methods ...

Continual Learners are Incremental Model Generalizers | OpenReview

... knowledge. Based on this observation, we suggest a new unsupervised CL framework with masked modeling, which aims to capture fluent task ...

ILCOC: An Incremental Learning Framework Based on Contrastive ...

One of the main reasons is that most deep learning algorithms can not continuously learn new tasks while keeping the knowledge learned from old tasks. When.

DyGRAIN: An Incremental Learning Framework for Dynamic Graphs

Incremental learning (i.e., continual learning or lifelong learning) aims to acquire increasing knowledge and extend it to future learning. However ...