Semisupervised image classification by mutual learning of multiple self‐supervised models
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22814
Abstract: Image classification has been widely adopted by current social media applications. Compared with fully supervised classification, semisupervised classification attracts more attention because it is commonly observed that category labels are only available for a small… read more here.
Keywords: self supervised; image classification; image; mutual learning ... See more keywords
Reflection as a Deliberative and Distributed Practice: Assessing Neuro-Enhancement Technologies via Mutual Learning Exercises (MLEs)
Sign Up to like & getrecommendations! Published in 2017 at "Nanoethics"
DOI: 10.1007/s11569-017-0287-4
Abstract: In 1968, Jürgen Habermas claimed that, in an advanced technological society, the emancipatory force of knowledge can only be regained by actively recovering the ‘forgotten experience of reflection’. In this article, we argue that, in… read more here.
Keywords: deliberative distributed; reflection; neuro enhancement; mutual learning ... See more keywords
Digital transitions in healthcare: the need for transdisciplinary research to overcome barriers of privacy enhancing technologies uptake
Sign Up to like & getrecommendations! Published in 2024 at "Health and Technology"
DOI: 10.1007/s12553-024-00850-x
Abstract: Adopting Privacy Enhancing Technologies (PETs) is key to accelerating digitisation of the healthcare sector while simultaneously upholding data protection rights and increasing cybersecurity. While such technologies are market-ready, the uptake of PETs in healthcare is… read more here.
Keywords: adoption; privacy enhancing; research; enhancing technologies ... See more keywords
Combined Mutual Learning Net for Raman Spectral Microbial Strain Identification.
Sign Up to like & getrecommendations! Published in 2024 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.3c05107
Abstract: Infectious diseases pose a significant threat to global health, yet traditional microbiological identification methods suffer from drawbacks, such as high costs and long processing times. Raman spectroscopy, a label-free and noninvasive technique, provides rich chemical… read more here.
Keywords: spectroscopy; microbial subspecies; combined mutual; mutual learning ... See more keywords
Weighted Pseudo Labeled Data and Mutual Learning for Semi-Supervised Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3063176
Abstract: In this article, a semi-supervised classification algorithm that is based on weighted pseudo labeled data and mutual learning is proposed. The purpose of our method is to improve the classification performance of semi-supervised learning models… read more here.
Keywords: pseudo; labeled data; semi supervised; pseudo labeled ... See more keywords
Remote Sensing Image Scene Classification Based on Mutual Learning With Complementary Multi-Features
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3543459
Abstract: A novel neural network model based on mutual learning, with complementary multi-features (MLCMFNet), is proposed for scene classification, addressing common issues with insufficient extraction to more effectively learn target features from remote sensing images. First,… read more here.
Keywords: image; scene classification; based mutual; mutual learning ... See more keywords
Remote Sensing Scene Classification by Local–Global Mutual Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3150801
Abstract: Remote sensing scene classification (RSSC) attempts to label an image with a specific scene category. Recently, convolutional neural networks (CNNs) have shown the powerful feature extraction capability to combine local and global features. However, both… read more here.
Keywords: scene classification; mutual learning; remote sensing; local global ... See more keywords
Dual-Task Mutual Learning With QPHFM Watermarking for Deepfake Detection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2024.3438101
Abstract: Deepfake technology has rapidly evolved and emerged in recent years, posing significant threats to individuals' reputations and security. Although passive detection methods can achieve reasonable accuracy, they still lack proactive defense mechanisms. To address this… read more here.
Keywords: detection; dual task; deepfake detection; mutual learning ... See more keywords
AM³Net: Adaptive Mutual-Learning-Based Multimodal Data Fusion Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3148257
Abstract: Multimodal data fusion, e.g., hyperspectral image (HSI) and light detection and ranging (LiDAR) data fusion, plays an important role in object recognition and classification tasks. However, existing methods pay little attention to the specificity of… read more here.
Keywords: fusion; mutual learning; fusion network; multimodal data ... See more keywords
Asymmetric Mutual Learning for Unsupervised Transferable Visible-Infrared Re-Identification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2024.3404786
Abstract: Visible-infrared person re-identification (Re-ID) plays a crucial role in matching people across camera views in the darkness and normal lighting. To reduce annotation cost, it is advantageous to learn Re-ID model from unlabeled visible-infrared image… read more here.
Keywords: asymmetric mutual; modality; visible infrared; cross modality ... See more keywords
Contrastive Mutual Learning With Pseudo-Label Smoothing for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2024.3406811
Abstract: Semi-supervised learning has become an effective paradigm for reducing the reliance on hyperspectral image (HSI) classification on labeled data. State-of-the-art semi-supervised HSI classification methods learn supplementary knowledge from pseudo-labels, which are predicted by a deep… read more here.
Keywords: classification; pseudo label; pseudo; mutual learning ... See more keywords