The 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 readingThe research paper presents ACT2G, an attention-based contrastive learning method for text-to-gesture generation. The method uses attention weight for each word in the input text to generate gestures that reflect…
Continue readingThe article is about AUDIO CONFIT, a two-stage contrastive learning-based approach for fine-tuning pre-trained audio models. AUDIO CONFIT aims to strike a balance between fitting the model to the training…
Continue readingThe article discusses a new approach to Automated Audio Captioning (AAC) that eliminates the need for paired audio-text data. This method uses a pre-trained Contrastive Language-Audio Pretraining (CLAP) model and…
Continue readingThis paper introduces a novel approach to sequential recommendation systems, a critical component of online platforms and services. The authors propose the application of the Fisher-Merging method to Sequential Recommendation…
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