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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 60PDFcodeScholar
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 202PDFcodeScholar