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cs.CV2024
H2OVL-Mississippi Vision Language Models Technical Report
Shaikat Galib, Shanshan Wang, Guanshuo Xu +4
Smaller vision-language models (VLMs) are becoming increasingly important for privacy-focused, on-device applications due to their ability to run efficiently on consumer hardware f…
cs.LG2024
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion
Jiawei Li, Sitong Li, Shanshan Wang +3
Deploying machine learning in open environments presents the challenge of encountering diverse test inputs that differ significantly from the training data. These out-of-distributi…
eess.AS2024
Positive and negative sampling strategies for self-supervised learning on audio-video data
Shanshan Wang, Soumya Tripathy, Toni Heittola +1
In Self-Supervised Learning (SSL), Audio-Visual Correspondence (AVC) is a popular task to learn deep audio and video features from large unlabeled datasets. The key step in AVC is…