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Found 4 papers, 1 papers with code
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency
We demonstrate image generation and captioning performance on par with state-of-the-art text-to-image and image-to-text models with orders of magnitude fewer (only 3M) paired image-text data.
Steerable Equivariant Representation Learning
In this paper, we propose a method of learning representations that are instead equivariant to data augmentations.
An Unsupervised Information-Theoretic Perceptual Quality Metric
We show that PIM is competitive with supervised metrics on the recent and challenging BAPPS image quality assessment dataset and outperforms them in predicting the ranking of image compression methods in CLIC 2020.
CaRB: A Crowdsourced Benchmark for Open IE
We release the CaRB framework along with its crowdsourced dataset.
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