With the urgent demand for generalized deep models, many pre-trained big models are
proposed, such as bidirectional encoder representations (BERT), vision transformer (ViT) …

PHM technology is vital in industrial production and maintenance, identifying and predicting
potential equipment failures and damages. This enables proactive maintenance measures …

Rapid development of large language models (LLMs) has significantly advanced multimodal
large language models (LMMs), particularly in vision-language tasks. However, existing …

Although the applications of artificial intelligence especially deep learning have greatly
improved various aspects of intelligent manufacturing, they still face challenges for broader …

With improvements in social productivity and technology, along with the popularity of the
Internet, consumer demands are becoming increasingly personalized and diversified …

Vision-Language Models pre-trained on large-scale image-text datasets have shown
superior performance in downstream tasks such as image retrieval. Most of the images for …

In the field of cross-modal retrieval, single encoder models tend to perform better than dual
encoder models, but they suffer from high latency and low throughput. In this paper, we …

In recent years, the CLIP model has achieved remarkable success in image-text retrieval
tasks through contrastive learning. However, CLIP still exhibits certain limitations when …

To address the problems of insufficient accuracy and difficulty of application in the current
Chinese image description field, this paper proposes an evaluation method based on …