Hyperspectral Semantic Segmentation
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HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone
2026-05-17
· Guanyiman Fu, Jingtao Li, Zihang Cheng, Zhuanfeng Li 외
arxiv
While hyperspectral imaging provides rich spatial-spectral information across hundreds of narrow wavelength bands for precise material identification, ground-based hyperspectral pre-trained backbones remain absent, const…
Hyperspectral Semantic SegmentationSalient Object DetectionRepresentation LearningKnowledge DistillationHS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios
2024-09-17
· Nick Theisen, Robin Bartsch, Dietrich Paulus, Peer Neubert
Semantic segmentation is an essential step for many vision applications in order to understand a scene and the objects within. Recent progress in hyperspectral imaging technology enables the application in driving scenar…
Autonomous DrivingHyperspectral Image SegmentationHyperspectral Semantic SegmentationSegmentation+1