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D. H. Shim

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Preprint Jul 2026

DPNeXt: A Lightweight Multi-Scale Feature Fusion Framework for Efficient ViT-Based Multi-Task Dense Prediction

DPNeXt, a streamlined multi-scale feature fusion decoder and efficient alternative to the standard Dense Prediction Transformer, and the Multi-Task Boundary Guidance (MTBG) strategy, which applies symmetric boundary-focused supervision to encourage geometric consistency without extra annotation or inference cost.

Jehun Kang, Jungha Wang, Young-Joon Hwang et al. · 0 citations

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