Large video models have exhibited impressive performance on a wide range of visual question answering tasks, owing to the rise of powerful, pretrained text and vision encoders. The usefulness of such models have also been demonstrated on a wide range of benchmarks, with an important caveat - the dominant approach in th...
Rwiddhi Chakraborty, Y. Wang, Cheng Zhang et al.· 0 citations
Recent machine learning weather prediction (MLWP) models have demonstrated remarkable forecasting skill on global reanalysis-based benchmarks. However, their performance remains unclear in challenging environments such as Northern Norway, where narrow fjords and rapidly changing weather result in highly variable local...
Si-Yan Chen, Lars Uebbing, E. Samuelsen et al.· 0 citations
Explainability is increasingly seen as a crucial requirement in AI-based medical diagnosis, particularly in safety-critical clinical decision-making. Most existing explainability methods in healthcare operate in a post-hoc manner and are predominantly designed for unimodal data, which limits their applicability in incr...
Yu-Qing Yang, Alexander Schmatz, Zhao-Zhao Ma et al.· 0 citations
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