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Found 3 papers, 1 papers with code
Iterated Learning Improves Compositionality in Large Vision-Language Models
A fundamental characteristic common to both human vision and natural language is their compositional nature.
EXIF as Language: Learning Cross-Modal Associations Between Images and Camera Metadata
We learn a visual representation that captures information about the camera that recorded a given photo.
A-ESRGAN: Training Real-World Blind Super-Resolution with Attention U-Net Discriminators
In this paper, we present A-ESRGAN, a GAN model for blind SR tasks featuring an attention U-Net based, multi-scale discriminator that can be seamlessly integrated with other generators.
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