Human‐in‐the‐Loop Object Segmentation for 3D Gaussian Splatting via Finger‐based VR Interface
This study introduces a human‐in‐the‐loop segmentation framework for 3D Gaussian Splatting that integrates real‐time optimization with intuitive VR‐based finger prompting. Compared with existing automatic, learning‐based methods, it achieves significantly higher accuracy and reduced segmentation time.
Yongseok Lee +5 more
wiley +1 more source
CLARIS: Control-based language-guided realistic imperfection synthesis. [PDF]
Kim E, Jeong J.
europepmc +1 more source
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source
CGDFNet: a dual-branch real-time semantic segmentation network with context-guided detail fusion. [PDF]
Zhao S, Fu W, Gao J, Zhang F, Huo Z.
europepmc +1 more source
This work proposes MDSC, an unsupervised low‐light enhancement framework integrating three core innovations: detail‐aware smoothing, multipath decomposition, and synergistic correction. It suppresses noise, handles rapid illumination variations, and prevents reflectance‐contrast amplification inherent to Retinex separation.
Yong Cheng +6 more
wiley +1 more source
A dynamic element-activated non-semantic sparse attention method for remote sensing small object detection. [PDF]
Liu S +5 more
europepmc +1 more source
A multimodal deep learning framework for clinical nursing assessment in lumbar fusion surgery via representation learning and feature extraction. [PDF]
Li C +5 more
europepmc +1 more source
An Improved DeepLabV3+-Based Method for Crop Row Segmentation and Navigation Line Extraction in Agricultural Fields. [PDF]
Wu L +7 more
europepmc +1 more source
GSC-YOLO: A Pedestrian Detection Method for Low-Light Security Surveillance Scenarios. [PDF]
Qing W, Li F, Li S, Yin P.
europepmc +1 more source
CA<sup>2</sup>PNet: a context-aware multi-scale architecture with adaptive attention and progressive dilated convolutions for biomedical image segmentation. [PDF]
Singh AK, Ranjan A, Prusty MR, Katal N.
europepmc +1 more source

