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)
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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
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 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
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
A Mutual Learning Framework for Pruned and Quantized Networks
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Computer Science and Technology"
DOI: 10.24215/16666038.23.e01
Abstract: Model compression is an important topic in deep learning research. It can be mainly divided into two directions: model pruning and model quantization. However, both methods will more or less affect the original accuracy of… read more here.
Keywords: mutual learning; framework pruned; learning; pruned quantized ... See more keywords
An Enhanced Differential Evolution Algorithm with Bernstein Operator and Refracted Oppositional-Mutual Learning Strategy
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DOI: 10.3390/e24091205
Abstract: Numerical optimization has been a popular research topic within various engineering applications, where differential evolution (DE) is one of the most extensively applied methods. However, it is difficult to choose appropriate control parameters and to… read more here.
Keywords: mutual learning; operator refracted; bernstein operator; differential evolution ... See more keywords