Class-incremental Learning (CIL) enables the model to incrementally absorb knowledge from new classes and build a generic classifier across all previously encountered classes. When the model optimizes ...
Abstract: Skeleton-based Temporal Action Segmentation (STAS) aims to densely parse untrimmed skeletal sequences into frame-level action categories. However, existing methods, while proficient at ...
NRPSTransformer is a deep learning model designed to predict the substrate specificity of adenylation (A) domains in Nonribosomal Peptide Synthetases (NRPS). It employs a transformer-based ...
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