DCM-SAM: Defect-Conditioned Mixture of LoRA Experts for NPU-Deployed AM Defect Segmentation

arXiv:2609.38811 · cs.CV, cs.LG · Submitted 2026-09-30 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-09-30

Updated: 2026-09-30

Comments: 12 pages, 1 figure, 8 tables. Accepted at the NeurIPS 2026 Workshop on On-Device Intelligence: Foundation Models under Real-World Constraints (ODI)

Code: https://github.com/MushfiqShovon/DCMSAM

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Quantization — 9× in this paper · explained in 12 episodes
Adaptation — 6× in this paper · explained in 1 episode
Benchmark — 5× in this paper · explained in 2 episodes
Accuracy — 4× in this paper · explained in 1 episode
Segment Anything Model — 4× in this paper
Ablation — 3× in this paper · explained in 1 episode
Embeddings — 3× in this paper · explained in 2 episodes
Domain Adaptation — 2× in this paper · explained in 5 episodes
Fine-Tuning — 2× in this paper · explained in 5 episodes
Foundation Model — 2× in this paper · explained in 3 episodes
Mixture of Experts — 2× in this paper · explained in 2 episodes
Segment Anything Model (SAM) — 2× in this paper · explained in 2 episodes
Cosine Similarity — 1× in this paper · explained in 3 episodes
Distribution Shift — 1× in this paper · explained in 5 episodes
Graph Construction — 1× in this paper · explained in 3 episodes
Loss Function — 1× in this paper · explained in 2 episodes
Sparsity — 1× in this paper · explained in 4 episodes
Transformer — 1× in this paper · explained in 2 episodes

DCM-SAM: Defect-Conditioned Mixture of LoRA Experts for NPU-Deployed AM Defect Segmentation

Terminology

Sources

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