51 citations · 266 across the 32 of their papers we have counts for
4 papers · 1 filter
Nearest Neighbor Normalization Improves Multimodal Retrieval
Neil Chowdhury, Franklin Wang, Sumedh Shenoy +3
Multimodal models leverage large-scale pre-training to achieve strong but still imperfect performance on tasks such as image captioning, visual question answering, and cross-modal…
Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision
Nicholas Lui, Bryan Chia, William Berrios +2
Computer vision models have been known to encode harmful biases, leading to the potentially unfair treatment of historically marginalized groups, such as people of color. However,…
Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality
Tristan Thrush, Ryan Jiang, Max Bartolo +4
We present a novel task and dataset for evaluating the ability of vision and language models to conduct visio-linguistic compositional reasoning, which we call Winoground. Given tw…
FLAVA: A Foundational Language And Vision Alignment Model
Amanpreet Singh, Ronghang Hu, Vedanuj Goswami +4
State-of-the-art vision and vision-and-language models rely on large-scale visio-linguistic pretraining for obtaining good performance on a variety of downstream tasks. Generally,…