RouteGraph-Mona: Confusion-Aware Routing Fine-Tuning for Mineral Image Classification

arXiv:2609.02282 · cs.CV, cs.AI · Submitted 2026-09-02 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-02

Updated: 2026-09-02

Code: https://github.com/rgmona/RouteGraph-Mona

Terminology

Accuracy — 37× in this paper · explained in 1 episode
Regularization — 31× in this paper · explained in 3 episodes
Fine-Tuning — 27× in this paper · explained in 5 episodes
Adaptation — 11× in this paper · explained in 1 episode
Transformer — 11× in this paper · explained in 2 episodes
Aggregation — 7× in this paper · explained in 1 episode
Parameter-Efficient Fine-Tuning — 6× in this paper · explained in 2 episodes
Embeddings — 5× in this paper · explained in 2 episodes
Ablation — 4× in this paper · explained in 1 episode
Graph Construction — 4× in this paper · explained in 3 episodes
Ablation study — 3× in this paper · explained in 1 episode
Linear Probing — 3× in this paper · explained in 2 episodes
Anchor Loss — 2× in this paper · explained in 1 episode
Cosine Similarity — 2× in this paper · explained in 3 episodes
Feature Extraction — 2× in this paper · explained in 2 episodes
Transfer Learning — 2× in this paper · explained in 10 episodes
Contrastive Learning — 1× in this paper · explained in 5 episodes
Representation Learning — 1× in this paper · explained in 2 episodes
Robustness — 1× in this paper · explained in 5 episodes
Transferability — 1× in this paper · explained in 4 episodes
Transformer Models — 1× in this paper · explained in 2 episodes

Sources

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