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Found 3 papers, 2 papers with code
Boosting 3D Neuron Segmentation with 2D Vision Transformer Pre-trained on Natural Images
To address this limitation, we aim to distill the consensus knowledge from massive natural image data to aid the segmentation model in learning the complex neuron structures.
Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model Development
Advanced Driver-Assistance Systems (ADAS) have successfully integrated learning-based techniques into vehicle perception and decision-making.
PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds
In this paper, we propose a novel framework for 3D neuron reconstruction.
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