UC Berkeley researchers say large language models have gained "metalinguistic ability," a hallmark of human language and ...

In the era of deep learning, audio-visual saliency prediction is still in its infancy due to the complexity of video signals and the continuous correlation in the temporal dimension. Most existing ...

Finally, the weighted-fusion layer is exploited to generate the ultimate visual attention map based on the obtained representations after bio-inspired representation learning. Extensive experiments ...

Recently, Professor Jiao Licheng's team at Xidian University conducted a systematic and in-depth review of the integration of large language models and evolutionary algorithms. The review ...

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 ...