Despite the growing variety of alternative technologies, passwords remain the preferred authentication method. This is mostly because passwords are simple to use and remember. Furthermore, most programs use passwords as a backup plan if other security...
The natural language creation field is completely transformed by large language models (LLMs). Traditional fine-tuning approaches for responding to downstream tasks require access to the parameters of LLMs, which limits their use on potent black-box LLMs...
The text-to-image generation has come a long way in recent years. Text-to-image generation models that use large-scale training data and model parameters can now...
Vision-Language Pre-training (VLP) models have made significant progress on several cross-modal tasks, such as Visual Question Answering (VQA) and cross-modal retrieval, during the previous...
Proteins play crucial roles for an organism and are involved in nearly all biological processes. Studying protein structures and functions can significantly advance the...
Machine learning and deep learning have gained popularity in domains, like computer vision (CV) and natural language processing (NLP), which require analyzing large amounts...
This Article Is Based On The Research Paper 'Quantum Self-Attention Neural Networks for Text Classification'. All Credit For This Research Goes To The Researchers...
This Article Is Based On The Research Article 'PaddleOCR, an Easy-to-Use and Open-Source OCR System, Rolls out Major Upgrade With Improved Accuracy and New...
This Article Is Based On The Research Paper 'PP-Matting: High-Accuracy Natural Image Matting'. All Credit For This Research Goes To The Researchers Of This...
This research summary is based on the paper 'PP-YOLOE: An evolved version of YOLO'
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Object detection is a...
Transformers have recently demonstrated promising performance in a variety of visual tests. Inspired by Transformer's success on a wide range of NLP tasks, Vision...
Convolutional neural networks (CNNs) have been used to achieve computer vision applications for the past few years. These networks can be trained and applied...
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