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Found 5 papers, 3 papers with code
Adaptive Future Frame Prediction with Ensemble Network
A common limitation of the existing learning-based approaches is a mismatch of training data and test data.
Human Segmentation with Dynamic LiDAR Data
It has a two-branch structure, i. e., the spatial segmentation branch and the temporal velocity estimation branch.
Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering
The usage of convolutional neural networks (CNNs) for unsupervised image segmentation was investigated in this study.
Learning-Based Human Segmentation and Velocity Estimation Using Automatic Labeled LiDAR Sequence for Training
In this paper, we propose an automatic labeled sequential data generation pipeline for human segmentation and velocity estimation with point clouds.
Automatic Labeled LiDAR Data Generation based on Precise Human Model
We present 500k+ data generated by the proposed pipeline.
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