Token Clustering and Semantic Sequence Mamba for Hyperspectral Image Classification

arXiv:2609.28580 · cs.CV · Submitted 2026-09-23 · Read on arXiv

cs.CV

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

Clustering — 51× in this paper · explained in 2 episodes
Transformer — 16× in this paper · explained in 2 episodes
Accuracy — 9× in this paper · explained in 1 episode
Tokenization — 6× in this paper · explained in 2 episodes
Cross-scale Neighborhood Attention — 5× in this paper
Non-stationarity — 5× in this paper · explained in 2 episodes
Semantic-wise Sequencing Mamba — 5× in this paper
Token Clustering Module — 5× in this paper
Data Fusion — 4× in this paper · explained in 3 episodes
Benchmark — 3× in this paper · explained in 2 episodes
Feature Extraction — 3× in this paper · explained in 2 episodes
Sparsity — 3× in this paper · explained in 4 episodes
Aggregation — 2× in this paper · explained in 1 episode
Cosine Similarity — 2× in this paper · explained in 3 episodes
Decoupling — 2× in this paper · explained in 2 episodes
Embeddings — 2× in this paper · explained in 2 episodes
Pavia University — 2× in this paper
Redundancy — 2× in this paper · explained in 2 episodes
Ablation — 1× in this paper · explained in 1 episode
Ablation study — 1× in this paper · explained in 1 episode
Adam — 1× in this paper · explained in 2 episodes
Adaptability — 1× in this paper · explained in 1 episode
Foundation Model — 1× in this paper · explained in 3 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
Generative Model — 1× in this paper · explained in 2 episodes
Geoscience and Remote Sensing Society — 1× in this paper
Hierarchical Framework — 1× in this paper · explained in 2 episodes
Overall Accuracy — 1× in this paper
Robustness — 1× in this paper · explained in 5 episodes
Semantic Similarity — 1× in this paper · explained in 2 episodes

Token Clustering and Semantic Sequence Mamba for Hyperspectral Image Classification

Terminology

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