#edge deployment

try —

4 papers match

cs.CV2026

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection

Paul Julius Kühn, Paul Julius Kühn, Saptarshi Neil Sinha +4

The paper introduces ScratchSim, a procedural rendering pipeline that creates large synthetic datasets for training surface scratch detectors, and shows that models fine‑tuned from…

#synthetic data generation#defect detection#surface scratch detection#domain randomization
cs.LG2026

OrthKD: Extracting Generalized Clinical Knowledge from Heterogeneous Teachers for Lightweight Deployment

Yi Xu, Cheng Chen, Mufan Cao

The paper introduces OrthKD, a knowledge distillation framework that selectively trusts a strong CNN and a weaker transformer teacher to train a lightweight MobileNetV3 model for d…

#knowledge distillation#diabetic retinopathy screening#edge deployment#heterogeneous teachers
cs.LG2026

HiFi-LLP: High-Fidelity, Low-Cost Latency Predictors with Confidence for Robust HW-NAS

Shambhavi Balamuthu Sampath, Behzad Shomali, Nael Fasfous +7

The paper introduces HiFi-LLP, a graph‑attention‑network based latency predictor that provides confidence estimates, allowing a hybrid hardware‑aware neural architecture search tha…

#hardware-aware neural architecture search#latency prediction#graph attention networks#confidence estimation
cs.LG2026

Transformer-Guided Swarm Intelligence for Frugal Neural Architecture Search

Romain Amigon

The paper introduces a hybrid Neural Architecture Search method that combines a reinforcement‑learning‑trained Transformer controller with an Artificial Bee Colony algorithm to eff…

#neural architecture search#swarm intelligence#transformer#reinforcement learning