Training-Free Spectral Transductive Refinement for Cross-Domain Few-Shot Classification

arXiv:2609.23758 · cs.CV · Submitted 2026-09-20 · Read on arXiv

cs.CV

Submitted: 2026-09-20

Updated: 2026-09-20

Terminology

• Spectral Transductive Refinement — 25× in this paper
• Benchmark — 14× in this paper · explained in 2 episodes
• Few-Shot Learning — 13× in this paper · explained in 4 episodes
• Accuracy — 10× in this paper · explained in 1 episode
• Embeddings — 8× in this paper · explained in 2 episodes
• Adaptation — 5× in this paper · explained in 1 episode
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Pseudo-labels — 5× in this paper · explained in 2 episodes
• Graph Construction — 4× in this paper · explained in 3 episodes
• Regularization — 4× in this paper · explained in 3 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Adaptive Graph — 3× in this paper · explained in 1 episode
• Clustering — 3× in this paper · explained in 2 episodes
• Domain Shift — 3× in this paper · explained in 4 episodes
• Iterative Refinement — 3× in this paper · explained in 3 episodes
• Meta-learning — 3× in this paper · explained in 2 episodes
• Semi-supervised Learning — 3× in this paper · explained in 4 episodes
• Spectral clustering — 3× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Harmonized Amplitude Perturbation — 2× in this paper
• Robustness — 2× in this paper · explained in 5 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Distribution Shift — 1× in this paper · explained in 6 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Infinite Mixture Prototypes — 1× in this paper
• Interpretability — 1× in this paper · explained in 15 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Spectral Geometry — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning

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