Three new vision-centric evaluation benchmarks in temporal frame retrieval, video future prediction, and causal memory distortion are introduced, all designed around evaluating visual understanding capabilities in large video models, which complements the existing approaches to evaluate video understanding in frontier...
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
A unified learning paradigm is proposed that jointly optimizes predictive performance and modality-specific explainability by identifying the most informative elements inside each modality that contribute to diagnostic decisions by employing a matrix-based Renyi's $\alpha$-order entropy functional under the assumption...
Yu-Qing Yang, Alexander Schmatz, Zhao-Zhao Ma et al.· 0 citations
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