ClassyNet: Class-Aware Early-Exit Neural Networks for Edge Devices
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2023.3344120
Abstract: Edge-based and IoT devices have seen phenomenal growth in recent years, driven by the surge in demand for emerging applications that leverage machine learning models, such as deep neural networks (DNNs). However, a primary drawback… read more here.
Keywords: exit; early exit; edge devices; class aware ... See more keywords
CCENet: Cascade Class-Aware Enhanced Network for High-Resolution Aerial Imagery Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3199459
Abstract: Semantic segmentation of high-resolution aerial images is a challenging task on account of interclass homogeneity and intraclass heterogeneity of land cover. Recent works have sought to mitigate this issue by exploiting pixelwise global contextual information… read more here.
Keywords: class; high resolution; class aware; ccenet ... See more keywords
Class-Aware Prediction: A Solution to Center Point Collision for Anchor-Free Object Detection in Aerial Images
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2024.3368619
Abstract: Object detection in aerial images has emerged as a critically important field in recent years, with anchor-free detectors garnering considerable attention from researchers. However, these detectors often encounter challenges when objects of different classes overlap,… read more here.
Keywords: detection; object detection; class aware; prediction ... See more keywords
Class-Aware Cartilage Segmentation for Autonomous US-CT Registration in Robotic Intercostal Ultrasound Imaging
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2024.3411784
Abstract: Ultrasound imaging has been widely used in clinical examinations owing to the advantages of being portable, real-time, and radiation-free. Considering the potential of extensive deployment of autonomous examination systems in hospitals, robotic US imaging has… read more here.
Keywords: registration; segmentation; class aware; cartilage ... See more keywords
Class-Aware Prompting for Federated Few-Shot Class-Incremental Learning
Sign Up to like & getrecommendations! 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
Class-Aware Adversarial Multiwavelet Convolutional Neural Network for Cross-Domain Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2023.3316264
Abstract: Incomplete feature extraction and underutilization of unlabeled target data exist in the actual situation of rotating machinery fault diagnosis. To this end, a class-aware adversarial multiwavelet convolutional neural network (CAMCNN) is developed for cross-domain fault… read more here.
Keywords: multiwavelet convolutional; class; class aware; fault diagnosis ... See more keywords
DCRP: Class-Aware Feature Diffusion Constraint and Reliable Pseudo-Labeling for Imbalanced Semi-Supervised Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2024.3360704
Abstract: Despite the astounding progress made in semi-supervised learning (SSL) and imbalanced supervised learning (ISL), there has been little attention devoted to the research of imbalanced semi-supervised learning (ISSL). The “Matthew effect”, a phenomenon where a… read more here.
Keywords: supervised learning; class; semi supervised; class aware ... See more keywords
Bi-Modality Individual-Aware Prompt Tuning for Visual-Language Model
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2025.3557780
Abstract: Prompt tuning is a valuable technique for adapting visual language models (VLMs) to different downstream tasks, such as domain generalization and learning from a few examples. Previous methods have utilized Context Optimization approaches to deduce… read more here.
Keywords: prompt tuning; modality; knowledge; class aware ... See more keywords
Feature-Aligned and Class-Aware Incremental Learning for Online Partial Discharge Monitoring
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Power Delivery"
DOI: 10.1109/tpwrd.2025.3590726
Abstract: The development of a reliable and accurate online condition monitoring system for detecting partial discharges (PD) in electrical switchgears is critical for ensuring the reliability and safety of high-voltage equipment. As the demand for scalable… read more here.
Keywords: class aware; feature aligned; monitoring; aware incremental ... See more keywords