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
Spatial pseudo-labeling for semi-supervised facies classification
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2020.107834
Abstract: Abstract For the Quantitative classification of facies is crucial to link seismic data with its corresponding lithology for the evaluation of reservoir properties. During the past decade, seismic volumes have increased to the degree that… read more here.
Keywords: spatial pseudo; pseudo; pseudo labeling; semi supervised ... See more keywords
Teachers in Concordance for Pseudo-Labeling of 3D Sequential Data
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DOI: 10.1109/lra.2022.3226029
Abstract: Automatic pseudo-labeling is a powerful tool to tap into large amounts of sequential unlabeled data. It is especially appealing in safety-critical applications of autonomous driving, where performance requirements are extreme, datasets are large, and manual… read more here.
Keywords: sequential data; pseudo labeling; teachers concordance; concordance pseudo ... See more keywords
A Feature Transformation Framework With Selective Pseudo-Labeling for 2D Image-Based 3D Shape Retrieval
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3182533
Abstract: 2D image-based 3D shape retrieval (2D-to-3D) aims at searching the corresponding 3D shapes (unlabeled) when given a 2D image (labeled), which is a fundamental task in computer vision and has gained a surge of attention… read more here.
Keywords: pseudo labeling; image based; selective pseudo; image ... See more keywords
Hybrid Semi-Supervised Learning for Rotating Machinery Fault Diagnosis Based on Grouped Pseudo Labeling and Consistency Regularization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3269112
Abstract: Applying semi-supervised learning (SSL) methods, such as pseudo labeling and consistency regularization, to rotating machinery fault diagnosis alleviates the difficulty of obtaining a large amount of labeled data in industrial practice. The low accuracy of… read more here.
Keywords: consistency; consistency regularization; pseudo labeling; fault diagnosis ... See more keywords
Learning From Synthetic Images via Active Pseudo-Labeling
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.2989100
Abstract: Synthetic visual data refers to the data automatically rendered by the mature computer graphic algorithms. With the rapid development of these techniques, we can now collect photo-realistic synthetic images with accurate pixel-level annotations without much… read more here.
Keywords: learning synthetic; pseudo; pseudo labeling; synthetic images ... See more keywords