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Found 4 papers, 2 papers with code
Leveraging Generative Language Models for Weakly Supervised Sentence Component Analysis in Video-Language Joint Learning
Orthogonal to the previous approaches to this limitation, we postulate that understanding the significance of the sentence components according to the target task can potentially enhance the performance of the models.
Syn-Att: Synthetic Speech Attribution via Semi-Supervised Unknown Multi-Class Ensemble of CNNs
In this paper, a novel strategy is proposed to attribute a synthetic speech track to the generator that is used to synthesize it.
CIFF-Net: Contextual Image Feature Fusion for Melanoma Diagnosis
In this paper, based on contextual image feature fusion (CIFF), a deep neural network (CIFF-Net) is proposed, which integrates patient-level contextual information into the traditional approaches for improved Melanoma diagnosis by concurrent multi-image comparative method.
ArtiFact: A Large-Scale Dataset with Artificial and Factual Images for Generalizable and Robust Synthetic Image Detection
Synthetic image generation has opened up new opportunities but has also created threats in regard to privacy, authenticity, and security.
