Geometry-Aware Transformer for Weakly Supervised Semantic Segmentation of Aerial Point Clouds

Aerial point cloud semantic segmentation technology enables intelligent interpretation of three-dimensional geographic information with precise structural representations and surface features. Recent Transformer-based point cloud semantic segmentation methods using multi-layer self-attention mechani...

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Autori principali:	Jiechen Pan, Shuai Xing, Wei Sun, Mofan Dai, Dandi Wang, Lu Zhi
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2026-01-01
Serie:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Soggetti:	Aerial point clouds attention mechanism geometric features geometry-aware transformer pseudo-labels weakly-supervised semantic segmentation
Accesso online:	https://ieeexplore.ieee.org/document/11482746/
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