Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
How directors and writers striving for a PG-13 rating have learned to ration the use of a four-letter obscenity.
TV's suggestive "Launderette" Levi's advert was first shown 40 years ago, and sales went through the roof. The ad marked a ...
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 ...
A package to support R script interactions with the Simcyp simulator (V22-V24). Provides functions to initialise Simcyp, load and modify workspaces and interrogate results. The Simcyp R package is ...
CLIP is one of the most important multimodal foundational models today. What powers CLIP’s capabilities? The rich supervision signals provided by natural language, the carrier of human knowledge, ...
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 ...
Abstract: Reconstructing visual stimulus representation is a significant task in neural decoding. Until now, most studies have considered functional magnetic resonance imaging (fMRI) as the signal ...
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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