12 citations · 34 across the 10 of their papers we have counts for
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cs.CV2021
Meta Internal Learning
Raphael Bensadoun, Shir Gur, Tomer Galanti +1
Internal learning for single-image generation is a framework, where a generator is trained to produce novel images based on a single image. Since these models are trained on a sing…
cs.CV2021
Cross-Modal Retrieval Augmentation for Multi-Modal Classification
Shir Gur, Natalia Neverova, Chris Stauffer +3
Recent advances in using retrieval components over external knowledge sources have shown impressive results for a variety of downstream tasks in natural language processing. Here,…
cs.CV2021★ 3 cited
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers
Hila Chefer, Shir Gur, Lior Wolf
Transformers are increasingly dominating multi-modal reasoning tasks, such as visual question answering, achieving state-of-the-art results thanks to their ability to contextualize…