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Towards Universal LiDAR-Based 3D Object Detection by Multi-Domain Knowledge Transfer
In this work, we propose the first attempt to explore multi-domain learning and generalization for LiDAR-based 3D object detection.
Domain Adaptation in 3D Object Detection with Gradual Batch Alternation Training
The idea is to initiate the training with the batch of samples from the source and target domain data in an alternate fashion, but then gradually reduce the amount of the source domain data over time as the training progresses.
A Spontaneous Driver Emotion Facial Expression (DEFE) Dataset for Intelligent Vehicles
In this paper, we introduce a new dataset, the driver emotion facial expression (DEFE) dataset, for driver spontaneous emotions analysis.
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