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 article presents SPIRIT-LM, a foundational multimodal language model that seamlessly combines text and speech. The model builds upon a pretrained text language model, extending its capabilities to the speech…
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 investigates the susceptibility of few-shot learning (FSL) to backdoor attacks. Initial evaluation showed that existing backdoor attack methods were ineffective in FSL scenarios due to overfitting and easy…
Continue readingThis research investigates the use of self-supervised learning (SSL) for bird sound classification, particularly in few-shot learning scenarios. The researchers demonstrate that SSL can acquire meaningful representations of bird sounds…
Continue readingThe article introduces a new framework that leverages the normalization layer in adapters with Progressive Learning and Adaptive Distillation (ProLAD) for Cross-Domain Few-Shot Learning (CD-FSL). The framework uses two separate…
Continue readingThe article presents a novel method for cross-domain few-shot hyperspectral image classification. The proposed method differs from current ones by learning the relations between samples from different views and incorporating…
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
