On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,978 papers · 148 categories

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2 results for “redrawing”

Unsupervised Object Segmentation by Redrawingcs.CV

ReDO extracts object masks from images without annotations.

problem Solving object segmentation with supervised learning requires large datasets and pixel-level annotations.

method ReDO uses an adversarial architecture where a generator redraws objects in images without annotations.

result ReDO successfully extracts high-quality object masks from various datasets.

unsupervised learning object segmentation image processing adversarial networks redrawing

2019-05-27abs ↗pdf ↗

Pixel-Wise Symbol Spotting via Progressive Points Location for Parsing CAD Imagescs.CV

A new method for spotting symbols in CAD images reduces annotation costs and improves accuracy.

problem Challenging task of labeling symbols from CAD drawings.

method Pixel-wise point location via Progressive Gaussian Kernels (PGK) and local offset.

result The proposed method achieves good generalization on real-world CAD images.

CAD drawings symbol spotting progressive Gaussian kernels local offset 3D prototypes

2024-04-17abs ↗pdf ↗