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Found 2 papers, 1 papers with code
DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners
We find that current state-of-the-art visual grounding models do not perform well on the dataset, highlighting the limitations of existing models on reference and quantification tasks.
IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance
Classification of large multivariate time series with strong class imbalance is an important task in real-world applications.
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