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Found 3 papers, 1 papers with code
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection
To achieve accurate 3D object detection at a low cost for autonomous driving, many multi-camera methods have been proposed and solved the occlusion problem of monocular approaches.
3rd Place Solution for NeurIPS 2021 Shifts Challenge: Vehicle Motion Prediction
Shifts Challenge: Robustness and Uncertainty under Real-World Distributional Shift is a competition held by NeurIPS 2021.
Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining
Most 3D neural networks are trained from scratch owing to the lack of large-scale labeled 3D datasets.
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