In recent years, contrastive language-image models such as CLIP have established themselves as a default choice for learning vision representations, particularly in multimodal applications like Visual ...

By scaling model size and training data, we show that vision-only models can match and even surpass language-supervised methods like CLIP, challenging the prevailing assumption that language ...

Note: *_sem_* representations are based on the classification level (probability distribution) of respective models.

Additionally, our AVE feature enhancement scheme develops intermodal correspondences through audio-visual interaction fusion, aligning the feature representations of AVEs temporally. To further ...

Abstract: Self-supervised visual pre-training models have achieved significant success without employing expensive annotations. Nevertheless, most of these models focus on iconic single-instance ...

This important study reports a reanalysis of one experiment of a previously-published report to characterize the dynamics of neural population codes during visual working memory in the presence of ...

This is undoubtedly one of the best visual representations of how large language models (LLMs) truly function. ⬇️ Let’s break it down: Tokenization & Embeddings: The input text is divided ...

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, and public reviews. This fMRI study shows that two regions of the visual cortex ...

PKR’s central leadership election next month will be conducted through a “proportional representation” system, with more delegates set to vote for the party’s highest office-bearers.