Intra-modality Self-enhancement Mirror Network for RGB-T Salient Object Detection
The inherent imaging properties of sensors result in two distinct differences between the
data from the two modalities in RGB-T Salient Object Detection (SOD) tasks. Namely …
data from the two modalities in RGB-T Salient Object Detection (SOD) tasks. Namely …
Enhancing Text Authenticity: A Novel Hybrid Approach for AI-Generated Text Detection
The rapid advancement of Large Language Models (LLMs) has ushered in an era where AI-
generated text is increasingly indistinguishable from human-generated content. Detecting AI …
generated text is increasingly indistinguishable from human-generated content. Detecting AI …
[PDF][PDF] Leveraging Prompt-Based Segmentation Models and Large Dataset to Improve Detection of Trees
V Grondin, P Massicotte, M Gaha… - Proceedings of the …, 2024 - assets.pubpub.org
The abundance of unlabeled forest images on the web is a powerful yet untapped resource
to train forestry vision models. Two key challenges limiting the use of these unlabeled …
to train forestry vision models. Two key challenges limiting the use of these unlabeled …
Research on Multi User MIMO Scheduling Algorithm Based on Hybrid Beamforming in 5G Communication
S Xiang - Journal of Theory and Practice in Engineering …, 2024 - woodyinternational.com
Massive MIMO is one of the core technologies in 5G communication, and multiple input
multiple output signals can effectively improve the spectral efficiency and user …
multiple output signals can effectively improve the spectral efficiency and user …