9 citations · 10 across the 3 of their papers we have counts for
3 papers
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★ 9 cited
Multimodal Fusion Refiner Networks
Sethuraman Sankaran, David Yang, Ser-Nam Lim
Tasks that rely on multi-modal information typically include a fusion module that combines information from different modalities. In this work, we develop a Refiner Fusion Network…
cs.CV2021★ 1 cited
THAT: Two Head Adversarial Training for Improving Robustness at Scale
Zuxuan Wu, Tom Goldstein, Larry S. Davis +1
Many variants of adversarial training have been proposed, with most research focusing on problems with relatively few classes. In this paper, we propose Two Head Adversarial Traini…