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Shaohua Guo

2 accepted papers

2022

ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-High Resolution Segmentation

CVPR 2022poster

The huge burden of computation and memory are two obstacles in ultra-high resolution image segmentation. To tackle these issues, most of the previous works follow the global-local refinement pipeline, which pays more attention to the memory consumption but neglects the inference speed. In comparison…

Cited by 60PDF ↗code ↗Scholar ↗
2022

Rethinking Efficient Lane Detection via Curve Modeling

CVPR 2022poster

This paper presents a novel parametric curve-based method for lane detection in RGB images. Unlike state-of-the-art segmentation-based and point detection-based methods that typically require heuristics to either decode predictions or formulate a large sum of anchors, the curve-based methods can lea…

Cited by 202PDF ↗code ↗Scholar ↗