BCG-Former: Toward Pareto-Efficient Hyperspectral Image Classification via Band-Contextual Gating

arXiv:2607.15639v1 Announce Type: new Abstract: Hyperspectral image (HSI) classification systems are increasingly deployed on platforms with strict computational budgets, such as UAVs and small spaceborne sensors. In these settings, accuracy alone is not enough; the model must also run within tight latency and memory constraints. Most recent HSI classifiers, however, focus on accuracy and pay relatively little attention to these constraints. We propose BCG-Former, a lightweight CNN-Transformer h...