Gradual Batch Alternation for Effective Domain Adaptation in LiDAR-Based 3D Object Detection
We address the challenge of domain adaptation in LiDAR-based 3D object detection by
introducing a simple yet effective training strategy known as Gradual Batch Alternation. This …
introducing a simple yet effective training strategy known as Gradual Batch Alternation. This …
Effects of Range-based LiDAR Point Cloud Density Manipulation on 3D Object Detection
In recent years, much progress has been made in LiDAR-based 3D object detection mainly
due to advances in detector architecture designs and availability of large-scale LiDAR …
due to advances in detector architecture designs and availability of large-scale LiDAR …
3D Can Be Explored In 2D: Pseudo-Label Generation for LiDAR Point Clouds Using Sensor-Intensity-Based 2D Semantic Segmentation
Semantic segmentation of 3D LiDAR point clouds, essential for autonomous driving and
infrastructure management, is best achieved by supervised learning, which demands …
infrastructure management, is best achieved by supervised learning, which demands …