Jul 2026· International Journal of Computer Vision· Vol 134· 0 citations· 71 references
Computer Science
TL;DR
The Geometry–Reflectance Collaboration Network (GRCNet) is introduced, which separately encodes geometry and reflectance and fuses them via robust multi-level feature collaboration to suppress weather-induced corruption while preserving complementary semantics.
WeatherMamba is a geometry- and reliability-aware state-space framework that integrates multiscale neighborhood aggregation, reliability-conditioned feature refinement, and efficient long-range sequence modeling, and results indicate a competitive accuracy–efficiency trade-off under the evaluated protocols.
He Huang, Xin-Tai Zhang, Yi-Dan Zhang et al.· Italian National Conference...· 0 citations
GFE-Net is rigorously benchmarked on two widely adopted large-scale datasets—S3DIS and SensatUrban—yielding OA/mIoU of 89.6%/73.1% and 93.3%/61.1%, respectively.
A structured evaluation protocol is proposed that assesses the deployment readiness of LiDAR semantic segmentation models along three complementary dimensions: coarse-label evaluation aligned with autonomous driving safety priorities, revealing how label granularity affects different methods; robustness under eight typ...
Samir Abou Haidar, Alexandre Chariot, Mehdi Darouich et al.· 0 citations
Semantic segmentation of forest point clouds is pivotal for automated forest inventory but is severely constrained by the scarcity of high-quality real-world annotations. Although synthetic forest point clouds provide a scalable alternative for training, models trained on synthetic data often suffer from pronounced per...
Jing Liu, Jing Huang, Di Wang· IEEE Transactions on Geoscie...· 0 citations
Source-Free Domain Adaptation (SFDA) offers a practical solution for deploying LiDAR point cloud segmentation models in new environments where source data cannot be accessed due to privacy constraints and storage limitations. Existing SFDA methods, however, are primarily designed for images and fail to account for the...
Jian Zhu, Yu-Feng Lin, Boyu Wang et al.· IEEE Transactions on Image P...· 0 citations
Multimodal remote sensing data, especially hyperspectral image (HSI) and light detection and ranging (LiDAR) data, have substantially advanced land-cover classification. However, cloud shadows and structure-induced occlusions distort observed spectra and also weaken cross-modal consistency, which degrades classificatio...
He Zhang, Kun Gao, Jing-Yi Wang et al.· IEEE Transactions on Geoscie...· 0 citations
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