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Found 3 papers, 3 papers with code
Forecasting Tropical Cyclones with Cascaded Diffusion Models
As tropical cyclones become more intense due to climate change, the rise of Al-based modelling provides a more affordable and accessible approach compared to traditional methods based on mathematical models.
Music Source Separation Based on a Lightweight Deep Learning Framework (DTTNET: DUAL-PATH TFC-TDF UNET)
Music source separation (MSS) aims to extract 'vocals', 'drums', 'bass' and 'other' tracks from a piece of mixed music.
Ranked #8 on
Music Source Separation
on MUSDB18-HQ
Audio Barlow Twins: Self-Supervised Audio Representation Learning
The Barlow Twins self-supervised learning objective requires neither negative samples or asymmetric learning updates, achieving results on a par with the current state-of-the-art within Computer Vision.
Ranked #1 on
Event Detection
on DCASE 2016 Task 2
