CARE: Constrained Attention Refinement for Fine-Grained Visual Classification via Teacher-Student Distillation

arXiv:2610.11153 · cs.CV, cs.AI · Submitted 2026-10-08 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/panpan0814/CARE

Terminology

• Distillation — 24× in this paper · explained in 2 episodes
• Transformer — 23× in this paper · explained in 2 episodes
• Accuracy — 18× in this paper · explained in 1 episode
• Regularization — 17× in this paper · explained in 3 episodes
• Sparsity — 12× in this paper · explained in 4 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Knowledge Distillation — 6× in this paper · explained in 11 episodes
• Linear Probing — 6× in this paper · explained in 2 episodes
• Teacher-Student Distillation — 6× in this paper · explained in 2 episodes
• Adaptation — 5× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 5× in this paper
• Redundancy — 4× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Interpretability — 3× in this paper · explained in 15 episodes
• Visual Prompt Tuning — 3× in this paper
• Ablation study — 2× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 2× in this paper
• International Conference on Learning Representations — 2× in this paper
• Ablation Studies — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Computational overhead — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• European Conference on Computer Vision — 1× in this paper
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

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