As universities increasingly adopt digital tools and automated analytics systems, attention often centers on these tools' ...
If you find this project helpful or inspiring, please consider giving it a star 🌟 on GitHub! Your support motivates us to keep improving and sharing our work with the community. 😊 ...
Abstract: Transformers have rapidly become the preferred choice for audio classification, surpassing methods based on CNNs. However, Audio Spectrogram Transformers (ASTs) exhibit quadratic scaling due ...
From innocent career advice to casual vacation planning, these everyday expressions reveal an uncomfortable truth about class divide that most of us never notice... until someone's reaction makes us ...
Abstract: Audio classification is essential for numerous ap-plications, including environmental sound monitoring, speech recognition systems and music genre classification. The ability to accurately ...
DSFormer is a novel Dual Selective Fusion Transformer Network for HSI classification. It adaptively selects and fuses features from diverse receptive fields to achieve joint spatial-spectral context ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results