Preprint
Aug 2026
Rethinking Data Efficiency in Industrial Dense Prediction: Pretraining Coherence, Not Inductive Bias, Determines ViTs Low-Data Advantage
The core finding empirically identifies a data-efficiency frontier: for domain-proximal scenes with>= 200 samples, Swin-Graft surpasses YOLOv11x and CNNs retain advantage for domain-distant scenes.
Haoran Sui, Yaoyuan Jia
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