PatchLoc: Embedded Patch Localization Pretext Task for Tumor Segmentation in Medical Images
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3399628
Abstract: Supervised deep learning methods have produced state-of-the-art results with large labeled datasets. However, accessing large labeled datasets is difficult in medical image analysis because of a shortage of medical experts, expensive annotations, and privacy constraints… read more here.
Keywords: task; pretext task; segmentation; embedded patch ... See more keywords
Stereo matching via self-supervised pre-training with view synthesis-based pretext task.
Sign Up to like & getrecommendations! Published in 2025 at "Optics express"
DOI: 10.1364/oe.562123
Abstract: Recently, deep learning-based stereo matching has made significant progress. However, most previous methods heavily rely on large-scale labeled images for training, which limits the application of stereo matching. In this paper, a Self-supervised Pre-training method… read more here.
Keywords: task; pretext task; view synthesis; stereo matching ... See more keywords
Continuous Latent Spaces Sampling for Graph Autoencoder
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13116491
Abstract: This paper proposes colaGAE, a self-supervised learning framework for graph-structured data. While graph autoencoders (GAEs) commonly use graph reconstruction as a pretext task, this simple approach often yields poor model performance. To address this issue,… read more here.
Keywords: pretext task; graph; latent space; continuous latent ... See more keywords