Apr 4, 2023 · In this paper, we address this issue by designing a distillation method that exploits label structure when training segmentation network. The ...
May 28, 2021 · We propose a novel distillation approach, ie., LGAD, which uses structure hints in lane labels to guide the attention of lane segmentation networks.
May 28, 2021 · We propose a novel distillation approach, i.e., LGAD, which uses structure hints in lane labels to guide the attention of lane segmentation ...
Label-guided Attention Distillation for lane segmentation ; Journal: Neurocomputing, 2021, p. 312-322 ; Publisher: Elsevier BV ; Authors: Zhikang Liu, Lanyun Zhu.
Continual semantic segmentation (CSS) aims to extend an existing model to tackle unseen tasks while retaining its old knowledge. Naively fine-tuning the old ...
Missing: lane | Show results with:lane
Oct 17, 2024 · Proposing a novel and simple attention-based feature distillation method using the CBAM attention module. This is the first work to use both.
Label-guided Attention Distillation for lane segmentation · Zhikang LiuLanyun Zhu. Computer Science. Neurocomputing. 2021. 12 Citations · Highly Influenced.
The proposed method has proven to be effective in distilling rich information, outperforming existing methods in semantic segmentation as a dense prediction ...
Missing: lane | Show results with:lane
To bridge this performance gap between the camera and LiDAR detectors, knowledge distillation [15] emerges as a promising solution, following the success in ...
In this approach, predic- tions are made on a per-pixel basis, classifying each pixel as either lane or background. With the segmentation map gen- erated, a ...