SmoothOperator: Enhancing Representations for Fine-grained Open-set Recognition via Modulated Label Smoothing

arXiv:2610.00851 · cs.CV, cs.LG · Submitted 2026-10-01 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-10-01

Updated: 2026-10-01

Terminology

• Alignment — 33× in this paper · explained in 1 episode
• Benchmark — 13× in this paper · explained in 2 episodes
• AUROC — 12× in this paper · explained in 2 episodes
• Representation Learning — 12× in this paper · explained in 2 episodes
• Contrastive Learning — 9× in this paper · explained in 5 episodes
• Open Set Recognition — 9× in this paper
• Semantic Shift Benchmark — 9× in this paper
• Accuracy — 8× in this paper · explained in 1 episode
• Ablation — 7× in this paper · explained in 1 episode
• Computer Vision and Pattern Recognition — 6× in this paper
• Angular Separability — 4× in this paper
• Cosine Similarity — 4× in this paper · explained in 3 episodes
• Covariate Shift — 4× in this paper · explained in 2 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Loss Function — 4× in this paper · explained in 2 episodes
• Norm Separability — 4× in this paper
• Open-Set Classification Rate — 4× in this paper
• Regularization — 4× in this paper · explained in 3 episodes
• Data Augmentation — 3× in this paper · explained in 7 episodes
• Correct Classification Rate — 2× in this paper
• European Conference on Computer Vision — 2× in this paper
• International Conference on Machine Learning — 2× in this paper
• Adam — 1× in this paper · explained in 2 episodes
• Adversarial Training — 1× in this paper · explained in 1 episode
• Area Under the Receiver Operating Characteristic — 1× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• False Positive Rate — 1× in this paper
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalized Pareto Distribution — 1× in this paper
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Linear Probing — 1× in this paper · explained in 2 episodes
• Maximum Softmax Probability — 1× in this paper
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Score Function — 1× in this paper · explained in 4 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes

Sources

• Fine-Grained Visual Classification of Aircraft

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