Transformer-based RGB-T Tracking with Channel and Spatial Feature Fusion
Y Li, B Wang, Y Li, Z Yu, L Wang - arXiv preprint arXiv:2405.03177, 2024 - arxiv.org
Complementary RGB and TIR modalities enable RGB-T tracking to achieve competitive
performance in challenging scenarios. Therefore, how to better fuse cross-modal features is …
performance in challenging scenarios. Therefore, how to better fuse cross-modal features is …
A Ray Launching Approach for Computing Exact Paths with Point Clouds
N Vaara, P Sangi, MB López, J Heikkilä - arXiv preprint arXiv:2402.13747, 2024 - arxiv.org
Ray tracing is a deterministic method that produces propagation paths between a transmitter
and a receiver. The simulation accuracy is significantly influenced by the environment …
and a receiver. The simulation accuracy is significantly influenced by the environment …
Ray Launching-Based Computation of Exact Paths with Noisy Dense Point Clouds
N Vaara, P Sangi, MB López, J Heikkilä - arXiv preprint arXiv:2403.06648, 2024 - arxiv.org
Point clouds have been a recent interest for ray tracing-based radio channel
characterization, as sensors such as RGB-D cameras and laser scanners can be utilized to …
characterization, as sensors such as RGB-D cameras and laser scanners can be utilized to …
U3M: Unbiased Multiscale Modal Fusion Model for Multimodal Semantic Segmentation
Multimodal semantic segmentation is a pivotal component of computer vision and typically
surpasses unimodal methods by utilizing rich information set from various sources. Current …
surpasses unimodal methods by utilizing rich information set from various sources. Current …
Synthetic Minority Oversampling Technique Enhanced Machine Learning Models for Energy Theft Detection
Electricity theft poses significant challenges to utility companies worldwide, resulting in
substantial financial losses. This study addresses the problem by leveraging machine …
substantial financial losses. This study addresses the problem by leveraging machine …