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Found 4 papers, 1 papers with code
SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field
Vision-centric 3D environment understanding is both vital and challenging for autonomous driving systems.
GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification
Our GB-CosFace introduces an adaptive global boundary to determine whether two face samples belong to the same identity so that the optimization objective is aligned with the testing process from the perspective of open set classification.
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution
Modern deep-learning-based lane detection methods are successful in most scenarios but struggling for lane lines with complex topologies.
Ranked #8 on
Lane Detection
on CurveLanes
(using extra training data)
Defective samples simulation through Neural Style Transfer for automatic surface defect segment
We train the segment net with the real defect samples and the generated simulation samples separately on the button datasets.
