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2 days ago · Anomaly detection (AD) is an longstanding computer vision problem, which has gained renewed interest due to major advances in deep learning (DL) techniques ...
2 days ago · This work propounded the theory that multi-scale deep learning with sufficient postprocessing aids in understanding the scene best. Latest research attempts to ...
20 hours ago · Federated learning is becoming an increasingly viable and accepted strategy for building machine learning models in critical privacy-preserving scenarios ...
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5 days ago · The model has five convolution layers followed by two fully connected layers. LeNet was the beginning of CNNs in deep learning for computer vision problems.
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3 days ago · Researchers have built AI/ML algorithms that can integrate multi-scale datasets for diseases to classify the disease into different etiological subtypes. For ...
3 days ago · Through this analysis, we present practical insights on how to leverage multi-modal foundational models for effective results given realistic compute and data ...
2 days ago · An interpretable, simplified yet effective deep learning model is required for accurate classification of Alzheimer's disease. In this study, a generalized ...
3 days ago · This topic will present the results of research describing recent advances in both the computer vision and pattern recognition fields.
18 hours ago · The Semantic Kernel (SK) serves as a powerful orchestrator that enables users to fulfill their specific ASKs through a variety of available plugins.
2 days ago · The proposed model returns a set of prototype subspaces and a relevance vector. While prototypes model typical behaviours within classes, the relevance factors.
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