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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.

168,982 papers · 148 categories

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0.3%0.5%0.8%0.1% · Apr 202419922001200920172026
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 learningobject segmentationimage processingadversarial networksredrawing
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 drawingssymbol spottingprogressive Gaussian kernelslocal offset3D prototypes
2024-04-17abs ↗pdf ↗