P cubed-SAM: SAM with Perceptual Parallel Prompt for Few-Shot Strip Steel Surface Defect Segmentation

arXiv:2609.21424 · cs.CV · Submitted 2026-09-18 · Read on arXiv

cs.CV

Submitted: 2026-09-18

Updated: 2026-09-18

Terminology

Benchmark — 7× in this paper · explained in 2 episodes
Perceptual-Optimized Encoding — 6× in this paper
Parallel Prompt Generator — 5× in this paper
Core — 4× in this paper · explained in 2 episodes
Ablation — 3× in this paper · explained in 1 episode
Embeddings — 3× in this paper · explained in 2 episodes
Transformer — 3× in this paper · explained in 2 episodes
Accuracy — 2× in this paper · explained in 1 episode
Aggregation — 2× in this paper · explained in 1 episode
Fine-Tuning — 2× in this paper · explained in 5 episodes
Generalization — 2× in this paper · explained in 13 episodes
Meta-learning — 2× in this paper · explained in 2 episodes
Segment Anything Model — 2× in this paper
Ablation Studies — 1× in this paper · explained in 1 episode
Ablation study — 1× in this paper · explained in 1 episode
AdamW Optimizer — 1× in this paper · explained in 1 episode
Binary Cross-Entropy — 1× in this paper
Cosine Similarity — 1× in this paper · explained in 3 episodes
Distribution Shift — 1× in this paper · explained in 6 episodes
Downstream Tasks — 1× in this paper · explained in 2 episodes
Foundation Model — 1× in this paper · explained in 3 episodes
Loss Function — 1× in this paper · explained in 2 episodes
Pseudo-labeling — 1× in this paper · explained in 3 episodes
Robustness — 1× in this paper · explained in 5 episodes
Segment Anything Model (SAM) — 1× in this paper · explained in 2 episodes

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