The article presents a method for users to design custom gestures using a monocular camera, employing transformers and meta-learning techniques to address the challenges of few-shot learning. The method supports…
Continue readingThe paper reviews the development and techniques of few-shot learning on graphs, a field that has seen significant advancements in recent years. The authors categorize existing studies into three major…
Continue readingThe study discusses the challenges of sound event localization and detection (SELD) methods due to environment shifts and conflicts. It proposes an environment-adaptive Meta-SELD that uses minimal data for efficient…
Continue readingThe research paper focuses on the development of a Hierarchical Meta-learning-based Adaptive Controller (HMAC), which enables accurate and swift online adaptation in fluctuating environments. HMAC is developed to learn from…
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