What Drives Hierarchy-Aware Image Retrieval? Taxonomy Alignment, Objective Choice, and Geometry

arXiv:2609.25638 · cs.CV · Submitted 2026-09-22 · Read on arXiv

cs.CV

Submitted: 2026-09-22

Updated: 2026-09-22

Terminology

Alignment — 21× in this paper · explained in 1 episode
Embeddings — 10× in this paper · explained in 2 episodes
Aggregation — 8× in this paper · explained in 1 episode
Ablation — 6× in this paper · explained in 1 episode
Semantic Alignment — 6× in this paper · explained in 3 episodes
Robustness — 5× in this paper · explained in 5 episodes
Contrastive Learning — 4× in this paper · explained in 5 episodes
Consistency — 2× in this paper · explained in 3 episodes
Fine-Tuning — 2× in this paper · explained in 5 episodes
Representation Learning — 2× in this paper · explained in 2 episodes
Verification — 2× in this paper · explained in 2 episodes
Accuracy — 1× in this paper · explained in 1 episode
Anchor Loss — 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
Generalization — 1× in this paper · explained in 13 episodes
Regularization — 1× in this paper · explained in 3 episodes
Transformer — 1× in this paper · explained in 2 episodes

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