Condlanenet: a top-to-down lane detection framework based on conditional convolution

L Liu, X Chen, S Zhu, P Tan - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
Modern deep-learning-based lane detection methods are successful in most scenarios but
struggling for lane lines with complex topologies. In this work, we propose CondLaneNet, a …
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CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution

L Liu, X Chen, S Zhu, P Tan - 2021 IEEE/CVF International …, 2021 - ieeexplore.ieee.org
Modern deep-learning-based lane detection methods are successful in most scenarios but
struggling for lane lines with complex topologies. In this work, we propose CondLaneNet, a …

CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution

L Liu, X Chen, S Zhu, P Tan - 2021 IEEE/CVF International …, 2021 - computer.org
Modern deep-learning-based lane detection methods are successful in most scenarios but
struggling for lane lines with complex topologies. In this work, we propose CondLaneNet, a …

CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution

L Liu, X Chen, S Zhu, P Tan - arXiv preprint arXiv:2105.05003, 2021 - arxiv.org
Modern deep-learning-based lane detection methods are successful in most scenarios but
struggling for lane lines with complex topologies. In this work, we propose CondLaneNet, a …

CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution

L Liu, X Chen, S Zhu, P Tan - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Modern deep-learning-based lane detection methods are successful in most scenarios but
struggling for lane lines with complex topologies. In this work, we propose CondLaneNet, a …