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Found 4 papers, 3 papers with code
SIDBench: A Python Framework for Reliably Assessing Synthetic Image Detection Methods
The generative AI technology offers an increasing variety of tools for generating entirely synthetic images that are increasingly indistinguishable from real ones.
MemeFier: Dual-stage Modality Fusion for Image Meme Classification
Hate speech is a societal problem that has significantly grown through the Internet.
MemeTector: Enforcing deep focus for meme detection
To this end, we propose a methodology, called Visual Part Utilization, that utilizes the visual part of image memes as instances of the regular image class and the initial image memes as instances of the image meme class to force the model to concentrate on the critical parts that characterize an image meme.
LAVARNET: Neural Network Modeling of Causal Variable Relationships for Multivariate Time Series Forecasting
Multivariate time series forecasting is of great importance to many scientific disciplines and industrial sectors.
