Improving 3D Labeling in Self-Driving by Inferring Vehicle Information using Vision Language Models
Quick Take
The study enhances 3D vehicle labeling in self-driving using Vision Language Models for zero-shot inference.
Key Points
- Utilizes Vision Language Models for vehicle make and model recognition.
- Improves 3D bounding box accuracy over traditional methods.
- Reduces manual labeling time while enhancing label quality.
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