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   Articles with "class incremental" as a keyword



Federated Class-Incremental Learning with New-Class Augmented Self-Distillation

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recommendations! Published in 2024 at "Journal of Computer Science and Technology"

DOI: 10.1007/s11390-025-5186-5

Abstract: Federated learning (FL) enables collaborative model training among participants while guaranteeing the privacy of raw data. Mainstream FL methodologies overlook the dynamic nature of real-world data, particularly its tendency to grow in volume and diversify… read more here.

Keywords: class incremental; class; self distillation; new class ... See more keywords

Fault Diagnosis in Chemical Processes Based on Class-Incremental FDA and PCA

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2896056

Abstract: A class-incremental scheme of fisher discriminant analysis is proposed to improve the performance ofprocess fault diagnosis. Fisher discriminant analysis seeks directions which are efficient for discrimination and has excellent fault detection and diagnostic performance for… read more here.

Keywords: fisher discriminant; discriminant analysis; class incremental; fault ... See more keywords

Adaptive-Prompt-Driven Few-Shot Class-Incremental Learning for Human Activity Recognition With Radar Modality

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recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3600386

Abstract: Human activity recognition (HAR) has attracted growing interest due to its wide ranging applications in healthcare, security, and smart surveillance. In particular, radar-based HAR offers a robust, noncontact alternative to conventional sensor based methods. Despite… read more here.

Keywords: human activity; shot class; class incremental; radar ... See more keywords

MSNCIL: A Domain-Agnostic Class-Incremental Learning Method Tailored for Automatic Modulation Recognition

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recommendations! Published in 2025 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2025.3565561

Abstract: The emergence of new modulation types in 6G challenges the adaptability of deep learning-based automatic modulation recognition (DL-AMR) models. This letter presents multi-state neuron class-incremental learning (MSNCIL), the first domain-agnostic class-incremental learning (CIL) method for… read more here.

Keywords: automatic modulation; class incremental; recognition; modulation ... See more keywords

A Class Incremental Learning Method With Forward-Compatible and Covariance-Aware for Specific Emitter Identification

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recommendations! Published in 2025 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2025.3588238

Abstract: Specific Emitter Identification (SEI) is essential for IoT security. Due to the continuous emergence of new communication devices in the real world, SEI needs to cope with an increasing number of transmitter categories. A trained… read more here.

Keywords: class incremental; specific emitter; emitter identification; class ... See more keywords

Passive Sensing for Class-Incremental Human Activity Recognition

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recommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2023.3278091

Abstract: Passive sensing technology enables Wi-Fi-based human activity recognition (HAR), which has been widely noted in recent years. This letter presents a novel Wi-Fi-based class-incremental HAR system that allows for the gradual addition of new activity… read more here.

Keywords: human activity; passive sensing; activity; activity recognition ... See more keywords

Class Incremental Learning With Deep Contrastive Learning and Attention Distillation

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recommendations! Published in 2024 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2024.3392678

Abstract: Class incremental learning can solve the issue of catastrophic forgetting when the trained model is used to learn a new task in which the model may forget part of previous knowledge learned. The key issue… read more here.

Keywords: class incremental; attention; class; deep contrastive ... See more keywords

Analytic Class Incremental Learning for Sound Source Localization With Privacy Protection

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recommendations! Published in 2024 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2024.3509338

Abstract: Sound Source Localization (SSL) enabling technology for applications such as surveillance and robotics. While traditional Signal Processing (SP)-based Sound Source Localization (SSL) methods provide analytic solutions under specific signal and noise assumptions, recent Deep Learning… read more here.

Keywords: class incremental; source localization; localization; sound source ... See more keywords

Curiosity-Driven Class-Incremental Learning via Adaptive Sample Selection

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recommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2022.3196092

Abstract: Modern artificial intelligence systems require class-incremental learning while suffering from catastrophic forgetting in many real-world applications. Due to the missing knowledge of past data, performance substantially degrades. Recent methods often used knowledge distillation and bias… read more here.

Keywords: sample; curiosity driven; incremental learning; catastrophic forgetting ... See more keywords

Anchor Assisted Experience Replay for Online Class-Incremental Learning

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recommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2022.3219605

Abstract: Online class-incremental learning (OCIL) studies the problem of mitigating the phenomenon of catastrophic forgetting while learning new classes from a continuously non-stationary data stream. Existing approaches mainly constrain the updating of parameters to prevent the… read more here.

Keywords: anchor; incremental learning; online class; drift ... See more keywords

Class-Aware Prompting for Federated Few-Shot Class-Incremental Learning

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recommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2025.3551612

Abstract: Few-Shot Class-Incremental Learning (FSCIL) aims to continuously learn new classes from limited samples while preventing catastrophic forgetting. With the increasing distribution of learning data across different clients and privacy concerns, FSCIL faces a more realistic… read more here.

Keywords: shot class; class incremental; federated shot; class ... See more keywords