Ten Architectures, One Error: Shared Failure Modes in Hyperspectral Classification under Spatially Disjoint Evaluation

arXiv:2609.01786 · cs.CV, cs.LG · Submitted 2026-09-01 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-09-01

Updated: 2026-09-01

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Benchmark — 26× in this paper · explained in 2 episodes
Transformer — 11× in this paper · explained in 2 episodes
Accuracy — 10× in this paper · explained in 1 episode
Admissibility — 7× in this paper · explained in 2 episodes
Foundation Model — 4× in this paper · explained in 3 episodes
Generalization — 4× in this paper · explained in 13 episodes
Calibration — 3× in this paper · explained in 7 episodes
Overall Accuracy — 3× in this paper
Core — 2× in this paper · explained in 2 episodes
Failure Modes — 2× in this paper · explained in 3 episodes
Tokenization — 2× in this paper · explained in 2 episodes
Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
Fidelity — 1× in this paper · explained in 2 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
Pairwise Comparisons — 1× in this paper · explained in 2 episodes
Pruning — 1× in this paper · explained in 4 episodes
Redundancy — 1× in this paper · explained in 2 episodes