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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.

169,051 papers · 148 categories

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0111 · Jun 201819922001200920172026
3 results for PSPNet

Coarse ground truth improves semantic segmentation accuracy for some classes.

problem Efficiently preparing high-quality datasets for autonomous driving.
method Comparative analysis of fine and coarse ground truth annotations on Cityscapes dataset using PSPNet.
result Coarse ground truth annotations can improve semantic segmentation accuracy for some classes without significant loss.

Auto-Compressing Subset Pruning reduces model size for faster inference.

problem High parameter counts and slow inference times in semantic segmentation models.
method Learning a channel selection mechanism based on temperature annealing schedule.
result Significant compression of segmentation models with acceptable inference performance.