A survey and experimental study for embedding-aware generative models: Features, models, and any-shot scenarios
In the era of industrial artificial intelligence, grappling with data insufficiency remains a
formidable challenge that stands at the forefront of our progress. The embedding-aware …
formidable challenge that stands at the forefront of our progress. The embedding-aware …
Zero-Shot Modulation Recognition via Knowledge-informed Waveform Description
Y Chen, X Wang, Z Huang - IEEE Signal Processing Letters, 2024 - ieeexplore.ieee.org
In non-cooperative environments, deep learning-based automatic modulation recognition
techniques often struggle with the situations with insufficient or even no training data …
techniques often struggle with the situations with insufficient or even no training data …
Self-supervised learning of pseudo classes for generalized zero-shot fine-grained recognition
Generalized zero-shot learning (GZSL) attempts to recognize visual instances from both
seen and unseen classes by transferring knowledge from seen classes to unseen classes …
seen and unseen classes by transferring knowledge from seen classes to unseen classes …