Query-Conditioned Prototype Adaptation for Cross-Domain Few-Shot Learning: Single-Query Inference, Controlled Comparisons, and Failure Modes

arXiv:2609.30769 · cs.CV, cs.LG · Submitted 2026-09-25 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

Accuracy — 58× in this paper · explained in 1 episode
Adaptation — 44× in this paper · explained in 1 episode
Transformer — 32× in this paper · explained in 2 episodes
Embeddings — 20× in this paper · explained in 2 episodes
Few-Shot Learning — 15× in this paper · explained in 4 episodes
Benchmark — 12× in this paper · explained in 2 episodes
Ablation — 10× in this paper · explained in 1 episode
Robustness — 5× in this paper · explained in 5 episodes
Aggregation — 2× in this paper · explained in 1 episode
Cosine Similarity — 2× in this paper · explained in 3 episodes
Failure Modes — 2× in this paper · explained in 3 episodes
Within-Instance Prototypical Transformer — 2× in this paper
Adam — 1× in this paper · explained in 2 episodes
Adversarial Training — 1× in this paper · explained in 1 episode
Alignment — 1× in this paper · explained in 1 episode
Attention Mechanism — 1× in this paper · explained in 2 episodes
Domain Adaptation — 1× in this paper · explained in 5 episodes
Feature Extraction — 1× in this paper · explained in 2 episodes
Joint Attention — 1× in this paper · explained in 2 episodes
Meta-learning — 1× in this paper · explained in 2 episodes
Model-Agnostic — 1× in this paper · explained in 2 episodes
Pseudo-labels — 1× in this paper · explained in 2 episodes
Regularization — 1× in this paper · explained in 3 episodes
Semantic Alignment — 1× in this paper · explained in 3 episodes

Sources

Hierarchical Representation based Query-Specific Prototypical Network for Few-Shot Image Classification

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