Search Results for author:
Found 6 papers, 3 papers with code
The intelligent prediction and assessment of financial information risk in the cloud computing model
Cloud computing (cloud computing) is a kind of distributed computing, referring to the network "cloud" will be a huge data calculation and processing program into countless small programs, and then, through the system composed of multiple servers to process and analyze these small programs to get the results and return to the user.
Intelligent Classification and Personalized Recommendation of E-commerce Products Based on Machine Learning
With the rapid evolution of the Internet and the exponential proliferation of information, users encounter information overload and the conundrum of choice.
GroundVLP: Harnessing Zero-shot Visual Grounding from Vision-Language Pre-training and Open-Vocabulary Object Detection
Visual grounding, a crucial vision-language task involving the understanding of the visual context based on the query expression, necessitates the model to capture the interactions between objects, as well as various spatial and attribute information.
Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language Models
Multimodal large language models (MLLMs) have shown great potential in perception and interpretation tasks, but their capabilities in predictive reasoning remain under-explored.
VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and Relations
Inspired by the CheckList for testing natural language processing, we exploit VL-CheckList, a novel framework to understand the capabilities of VLP models.
Generative Adversarial Networks For Data Scarcity Industrial Positron Images With Attention
In the industrial field, the positron annihilation is not affected by complex environment, and the gamma-ray photon penetration is strong, so the nondestructive detection of industrial parts can be realized.
