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 ...
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 ...
I’ll never forget that day. After glancing at the grade on the last page, a student casually tossed his biology test into the recycling bin as he headed to his next class. I was shocked. Wasn’t he ...
Mathematics Natural Science and Technology Education, University of the Free State, Bloemfontein, South Africa Due to the freedom afforded natural sciences textbook authors globally and in South ...
The human brain extracts complex information from visual inputs, including objects, their spatial and semantic interrelations, and their interactions with the environment. However, a quantitative ...
Visual generation frameworks follow a two-stage approach: first compressing visual signals into latent representations and then modeling the low-dimensional distributions. However, conventional ...
A U.K.-based startup is harnessing the power of visual artificial intelligence to help automate early-stage process development as well, they say, as biomanufacturing. Reach Industries, which gave a ...
Smart cities deploy various sensors such as microphones and RGB cameras to collect data to improve the safety and comfort of the citizens. As data annotation is expensive, self-supervised methods such ...
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