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Found 6 papers, 1 papers with code
Towards the Unification of Generative and Discriminative Visual Foundation Model: A Survey
The advent of foundation models, which are pre-trained on vast datasets, has ushered in a new era of computer vision, characterized by their robustness and remarkable zero-shot generalization capabilities.
Enhanced E-Commerce Attribute Extraction: Innovating with Decorative Relation Correction and LLAMA 2.0-Based Annotation
The rapid proliferation of e-commerce platforms accentuates the need for advanced search and retrieval systems to foster a superior user experience.
Practical Lessons on Optimizing Sponsored Products in eCommerce
In this paper, we first propose data and feature engineering techniques to handle the aforementioned problems in ad system; after that, we evaluate the benefit of our practical framework on real-world data sets from our traffic logs from online shopping site.
Transformer and GAN Based Super-Resolution Reconstruction Network for Medical Images
Because of the necessity to obtain high-quality images with minimal radiation doses, such as in low-field magnetic resonance imaging, super-resolution reconstruction in medical imaging has become more popular (MRI).
Unsupervised Learning Based Focal Stack Camera Depth Estimation
We propose an unsupervised deep learning based method to estimate depth from focal stack camera images.
Coalition Control Model: A Dynamic Resource Distribution Method Based on Model Predicative Control
Optimization of resource distribution has been a challenging topic in current society.
Multiagent Systems I.6.3, I.6.5
