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Few-shot Class-incremental Learning: A Survey
In our in-depth examination, we delve into various facets of FSCIL, encompassing the problem definition, the discussion of the primary challenges of unreliable empirical risk minimization and the stability-plasticity dilemma, general schemes, and relevant problems of IL and Few-shot Learning (FSL).
Class-Incremental Object Detection
Few-Shot Class-Incremental Learning
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Non-Contact Heart Rate Measurement from Deteriorated Videos
Remote photoplethysmography (rPPG) offers a state-of-the-art, non-contact methodology for estimating human pulse by analyzing facial videos.
A hybrid quantum-classical neural network with deep residual learning
In this paper, a novel hybrid quantum-classical neural network with deep residual learning (Res-HQCNN) is proposed.
