Partial contrastive point cloud self-supervised representation learning
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-98521-y
Abstract: Annotating 3D point cloud data is labor-intensive. Self-supervised representation learning can reduce the intense demand of manual annotation. However, the sparsity of point cloud, while containing rich geometric structural information, makes the self-supervised representation learning… read more here.
Keywords: supervised representation; point; self supervised; point cloud ... See more keywords
Self-Supervised Representation Learning for Basecalling Nanopore Sequencing Data
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DOI: 10.1109/access.2024.3440882
Abstract: Basecalling is a complex task that involves translating noisy raw electrical signals into their corresponding DNA sequences. Several deep learning architectures have been successful in improving basecalling accuracy, but all of them rely on a… read more here.
Keywords: supervised representation; self supervised; learning basecalling; representation learning ... See more keywords
Evaluation of Self-Supervised Representation Learning for Mitosis Detection in Histopathological Images.
Sign Up to like & getrecommendations! Published in 2025 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2025.3629587
Abstract: In histopathology, accurate identification of mitotic cells is crucial for classifying specific types of cancer. Pathologists assess tumor aggressiveness by meticulously identifying mitotic cells within defined tissue sections. However, this process is inherently laborious and… read more here.
Keywords: supervised representation; foundation models; self supervised; representation learning ... See more keywords
Self-Supervised Representation Learning for Video Quality Assessment
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DOI: 10.1109/tbc.2022.3197904
Abstract: No-reference (NR) video quality assessment (VQA) is a challenging problem due to the difficulty in model training caused by insufficient annotation samples. Previous work commonly utilizes transfer learning to directly migrate pre-trained models on the… read more here.
Keywords: quality; representation learning; video quality; supervised representation ... See more keywords
Self-Supervised Representation Learning for Videos by Segmenting via Sampling Rate Order Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3114209
Abstract: Self-supervised representation learning for videos has been very attractive recently because these methods exploit the information inherently obtained from the video itself instead of annotated labels that is quite time-consuming. However, existing methods ignore the… read more here.
Keywords: representation learning; order; supervised representation; self supervised ... See more keywords