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Found 4 papers, 1 papers with code
Supervised Contrastive Learning for Fine-grained Chromosome Recognition
Chromosome recognition is an essential task in karyotyping, which plays a vital role in birth defect diagnosis and biomedical research.
Federated Multilinear Principal Component Analysis with Applications in Prognostics
Simulated data and a real-world data set are used to validate the performance of the proposed method.
A Supervised Tensor Dimension Reduction-Based Prognostics Model for Applications with Incomplete Imaging Data
This paper proposes a supervised dimension reduction methodology for tensor data which has two advantages over most image-based prognostic models.
Tracklet-Switch Adversarial Attack against Pedestrian Multi-Object Tracking Trackers
Multi-Object Tracking (MOT) has achieved aggressive progress and derived many excellent deep learning trackers.
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