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
Convolutional‐capsule network for gastrointestinal endoscopy image classification
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22815
Abstract: Automated diagnosis of digestive tract diseases from gastrointestinal endoscopy images is of high importance for improving the diagnosis accuracy and efficiency. The current mainstream methods for image classification of digestive tract endoscopy images are based… read more here.
Keywords: network; classification; gastrointestinal endoscopy; image classification ... See more keywords
FaxMatch: Multi-Curriculum Pseudo-Labeling for Semi-supervised Medical Image Classification.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16312
Abstract: BACKGROUND Semi-supervised learning (SSL) can effectively use information from unlabeled data to improve model performance, which has great significance in medical imaging tasks. Pseudo-labeling is a classical SSL method that uses a model to predict… read more here.
Keywords: semi supervised; pseudo labeling; medical image; pseudo ... See more keywords
Economical crowdsourcing for camera trap image classification
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DOI: 10.1002/rse2.84
Abstract: Camera trapping is widely used to monitor mammalian wildlife but creates large image datasets that must be classified. In response, there is a trend towards crowdsourcing image classification. For high‐profile studies of charismatic faunas, many… read more here.
Keywords: image; classification; camera trap; consensus ... See more keywords
Research on image classification method based on convolutional neural network
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-04930-7
Abstract: Image classification method is currently the more popular image technology, but it still has certain problems in practice. In order to improve the image classification effect, this study proposes a new convolution kernel, which can… read more here.
Keywords: image classification; image; classification method; network ... See more keywords
On measuring and employing texture directionality for image classification
Sign Up to like & getrecommendations! Published in 2021 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-021-01013-8
Abstract: Directionality is useful in many computer vision, pattern recognition, visualization, and multimedia applications since it is considered as an important pre-attentive attribute in human vision. To support using directionality (i.e., orientedness) for texture discrimination, a… read more here.
Keywords: element; texture directionality; measure; image classification ... See more keywords
Few-shot contrastive learning for image classification and its application to insulator identification
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02769-6
Abstract: This paper presents a novel discriminative Few-shot learning architecture based on batch compact loss. Currently, Convolutional Neural Network (CNN) has achieved reasonably good performance in image recognition. Most existing CNN methods facilitate classifiers to learn… read more here.
Keywords: image; learning image; shot; image classification ... See more keywords
Endoscopic Image Classification and Retrieval using Clustered Convolutional Features
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Medical Systems"
DOI: 10.1007/s10916-017-0836-y
Abstract: With the growing use of minimally invasive surgical procedures, endoscopic video archives are growing at a rapid pace. Efficient access to relevant content in such huge multimedia archives require compact and discriminative visual features for… read more here.
Keywords: feature; classification retrieval; convolutional features; image classification ... See more keywords
A dyadic multi-resolution deep convolutional neural wavelet network for image classification
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4523-2
Abstract: For almost the past four decades, image classification has gained a lot of attention in the field of pattern recognition due to its application in various fields. Given its importance, several approaches have been proposed… read more here.
Keywords: classification; network; multi resolution; wavelet ... See more keywords
Metric learning for weather image classification
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DOI: 10.1007/s11042-017-4948-7
Abstract: Image classification is a core task in many applications of computer vision. Recognition of weather conditions based on large-volume image datasets is a challenging problem. However, there has been little research on weather-related recognition using… read more here.
Keywords: classification; metric learning; weather; image classification ... See more keywords
Affective image classification via semi-supervised learning from web images
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6131-1
Abstract: Affective image classification has drawn increasing research attentions in the affective computing and multimedia communities. Despite many solutions proposed in the literature, it remains a major challenge to bridge the semantic gap between visual features… read more here.
Keywords: affective image; web images; image classification; semi supervised ... See more keywords