To address the degradation of visual-language (VL) representations during VLA supervised fine-tuning (SFT), we introduce Visual Representation Alignment. During SFT, we pull a VLA’s visual tokens ...
Tangible data visualizations are physical objects that represent data. Think of a sculpture made from LEGOs showing how busy a project is, or a knitted pattern representing work hours. You can touch ...
CLIP is one of the most important multimodal foundational models today, aligning visual and textual signals into a shared feature space using a simple contrastive learning loss on large-scale ...
In just a few short hours on Wednesday afternoon, what began as a small fire on the first floor of an apartment building swelled into a raging inferno that consumed seven high-rise towers on a Hong ...
Abstract: Deformable tissue retraction is a common but time-consuming task in robotic surgery. An autonomous robotic deformable tissue retraction system has the potential to help surgeons reduce ...
Abstract: Contrastive loss and its variants are very popular for visual representation learning in an unsupervised scenario, where positive and negative pairs are produced to train a feature encoder ...
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