Image Captioning in news report scenario
Image captioning strives to generate pertinent captions for specified images, situating itself
at the crossroads of Computer Vision (CV) and Natural Language Processing (NLP). This …
at the crossroads of Computer Vision (CV) and Natural Language Processing (NLP). This …
Machine learning-based system reliability analysis with Gaussian Process Regression
Machine learning-based reliability analysis methods have shown great advancements for
their computational efficiency and accuracy. Recently, many efficient learning strategies …
their computational efficiency and accuracy. Recently, many efficient learning strategies …
Feature manipulation for ddpm based change detection
Z Li, Y Huang, M Zhu, J Zhang, JH Chang… - arXiv preprint arXiv …, 2024 - arxiv.org
Change Detection is a classic task of computer vision that receives a bi-temporal image pair
as input and separates the semantically changed and unchanged regions of it. The diffusion …
as input and separates the semantically changed and unchanged regions of it. The diffusion …
Task-agnostic detector for insertion-based backdoor attacks
Textual backdoor attacks pose significant security threats. Current detection approaches,
typically relying on intermediate feature representation or reconstructing potential triggers …
typically relying on intermediate feature representation or reconstructing potential triggers …
Innovative Deep Learning Methods for Precancerous Lesion Detection
With the continuous advancement of socio-economic levels and relentless innovation in
modern medical technologies, there's been a significant increase in the importance people …
modern medical technologies, there's been a significant increase in the importance people …
[PDF][PDF] Advancements in AI for Oncology: Developing an Enhanced YOLOv5-based Cancer Cell Detection System
As artificial intelligence (AI) theory becomes more sophisticated and its utilization spreads
across daily life, education, and professional settings, the adoption of AI for medical …
across daily life, education, and professional settings, the adoption of AI for medical …
A survey on fairness of large language models in e-commerce: progress, application, and challenge
This survey explores the fairness of large language models (LLMs) in e-commerce,
examining their progress, applications, and the challenges they face. LLMs have become …
examining their progress, applications, and the challenges they face. LLMs have become …
Immunotherapy efficacy prediction through a feature re-calibrated 2.5 D neural network
H Xu, C Li, L Zhang, Z Ding, T Lu, H Hu - Computer Methods and Programs …, 2024 - Elsevier
Background and objective Lung cancer continues to be a leading cause of cancer-related
mortality worldwide, with immunotherapy emerging as a promising therapeutic strategy for …
mortality worldwide, with immunotherapy emerging as a promising therapeutic strategy for …
Leveraging deep learning and xception architecture for high-accuracy mri classification in alzheimer diagnosis
Exploring the application of deep learning technologies in the field of medical diagnostics,
Magnetic Resonance Imaging (MRI) provides a unique perspective for observing and …
Magnetic Resonance Imaging (MRI) provides a unique perspective for observing and …
Optimization and performance evaluation of deep learning algorithm in medical image processing
In this paper, the optimization and performance evaluation of deep learning algorithm in
medical image processing are studied. Firstly, the paper introduces the importance and …
medical image processing are studied. Firstly, the paper introduces the importance and …