Abstract: Emotion Cause Pair Extraction (ECPE) aims to extract emotions and their causes from a document. Powerful emotion and cause extraction abilities have proven essential in achieving accurate ...
VALPARAISO — A woman reportedly told police she was having a good time on a date with a Crown Point man she met on Facebook until he dropped her off at her local residence.
Abstract: Underwater images often suffer from various issues such as low brightness, color shift, blurred details, and noise due to light absorption and scattering caused by water and suspended ...
Abstract: Sleep staging serves as a fundamental assessment for sleep quality measurement and sleep disorder diagnosis. Although current deep learning approaches have successfully integrated multimodal ...
Abstract: As global economies continue to expand, maritime trade is projected to double by the year 2050. In this context, the development of a new generation of maritime intelligent supervision ...
Abstract: To boost the encoder stealing attack under the perturbation-based defense that hinders the attack performance, we propose a boosting encoder stealing attack with perturbation recovery named ...
Abstract: Multispectral object detection based on RGB and IR achieves improved accurate and robust performance by integrating complementary information from different modalities. However, existing ...
Abstract: Transfer learning from pre-trained encoders has become essential in modern machine learning, enabling efficient model adaptation across diverse tasks. However, this combination of ...
Abstract: Image deblurring is one of the classic tasks in the field of computer vision, holding significant research importance and practical value. The Multi-Input Multi-Output (MIMO) encoder-decoder ...
Learn how to automatically edit music videos in Adobe Premiere Pro using a powerful AI plugin! This step-by-step tutorial shows you how to sync cuts, match beats, and create professional edits in ...
Abstract: In underwater environments, the absorption and scattering of light often result in various types of degradation in captured images, including color cast, low contrast, low brightness, and ...
Abstract: Existing unsupervised graph anomaly detection (GAD) methods can be categorized into reconstruction based methods and contrastive learning based methods. The principle of reconstruction ...