HyperVision is the first channel-adaptive pre-trained backbone for ground-based hyperspectral vision, trained on 15k images via pseudo-labeling and cross-modal distillation, achieving SOTA on segmentation, tracking, and detection with head-only fine-tuning.
Hyper-Drive: Visible-Short Wave Infrared Hyperspectral Imaging Datasets for Robots in Unstructured Environments
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HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone
HyperVision is the first channel-adaptive pre-trained backbone for ground-based hyperspectral vision, trained on 15k images via pseudo-labeling and cross-modal distillation, achieving SOTA on segmentation, tracking, and detection with head-only fine-tuning.