Facet: Fairness in computer vision evaluation benchmark
L Gustafson, C Rolland, N Ravi… - Proceedings of the …, 2023 - openaccess.thecvf.com
Computer vision models have known performance disparities across attributes such as
gender and skin tone. This means during tasks such as classification and detection, model …
gender and skin tone. This means during tasks such as classification and detection, model …
Identifying Implicit Social Biases in Vision-Language Models
Vision-language models like CLIP are widely used for multimodal retrieval tasks. However,
they can learn historical biases from their training data, resulting in the perpetuation of …
they can learn historical biases from their training data, resulting in the perpetuation of …
Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost
Current foundation models have shown impressive performance across various tasks.
However, several studies have revealed that these models are not effective for everyone …
However, several studies have revealed that these models are not effective for everyone …