Vision Transformers (ViTs) outperforms convolutional neural networks (CNNs) in several vision
tasks with its global modeling capabilities. However, ViT lacks the inductive bias inherent …

Existing cross-modal frameworks have achieved impressive performance in point cloud object
representations learning, where a 2D image encoder is employed to transfer knowledge …

Objectives to test the effectiveness of breast feeding (BF), music therapy (MT), and combined
breast feeding and music therapy (BF+MT) on pain relief in healthy-term neonates during …

The expansion of large language models has led to improved performance and efficiency,
with prompt engineering emerging as a key strategy for various LLM tasks. However, while …

This paper explores improvements to the masked image modeling (MIM) paradigm. The MIM
paradigm enables the model to learn the main object features of the image by masking the …

Appearance anxiety has already become a common phenomenon in today’s society. Some
high school girls begin to worry about their appearances and even feel anxious about the …

The default mode network (DMN) in humans has been suggested to support a variety of
cognitive functions and has been implicated in an array of neuropsychological disorders. …

Nowadays, pre-training models on large-scale 1 datasets and fine-tuning models on task-specific
datasets have 2 become common paradigms, achieving impressive success in 3 …

Abstract Mathematics ability is a complex cognitive trait with polygenic heritability. Genome-wide
association study (GWAS) has been an effective approach to investigate genetic …

With the rapid development of digital devices, the issue of how to transmit information among
different devices with multimedia carriers has drawn much attention from the research …