CaptorX: A Class-Adaptive Convolutional Neural Network Reconfiguration Framework
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2021.3061520
Abstract: Nowadays, the evolution of deep learning and cloud service significantly promotes neural network-based mobile applications. Although intelligent and prolific, those applications still lack certain flexibility: for classification tasks, neural networks are generally trained with vast… read more here.
Keywords: neural network; captorx; class adaptive; reconfiguration ... See more keywords
Dual-Stream Class-Adaptive Network for Semi-Supervised Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3357455
Abstract: Semi-supervised classification of remote sensing (RS) hyperspectral image (HSI) aims at exploiting both labeled and unlabeled samples for accurate land cover recognition. However, imbalanced data distribution and different classification difficulties negatively affect classification performance. Focused… read more here.
Keywords: classification; class; semi supervised; class adaptive ... See more keywords
Unlabeled Insight, Labeled Boost: Contrastive Learning and Class-Adaptive Pseudo-Labeling for Semi-Supervised Medical Image Classification
Sign Up to like & getrecommendations! Published in 2025 at "Entropy"
DOI: 10.3390/e27101015
Abstract: The medical imaging domain frequently encounters the dual challenges of annotation scarcity and class imbalance. A critical issue lies in effectively extracting information from limited labeled data while mitigating the dominance of head classes. The… read more here.
Keywords: class; semi supervised; class adaptive; adaptive pseudo ... See more keywords