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Found 4 papers, 2 papers with code
SolarPanel Segmentation :Self-Supervised Learning for Imperfect Datasets
The increasing adoption of solar energy necessitates advanced methodologies for monitoring and maintenance to ensure optimal performance of solar panel installations.
ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation
This paper presents a novel multi-modal approach for brain lesion segmentation that leverages information from four distinct imaging modalities while being robust to real-world scenarios of missing modalities, such as T1, T1c, T2, and FLAIR MRI of brains.
CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-Resolution
Because of the spectral range mismatch between the images, Guided Super-Resolution of thermal images utilizing visible range images is difficult.
Performance evaluation of deep segmentation models for Contrails detection
In this work, we benchmark several popular segmentation models with combinations of different loss functions and encoder backbones.
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