computer-vision-9
3D Semantic Occupancy Prediction
3260 papers • 126 benchmarks • 313 datasets
Uses sparse LiDAR semantic labels for training and testing
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Most implemented papers
OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction
Dalong Du, Yunpeng Zhang, Zhengbiao Zhu•Mon Apr 10 2023
OccFormer, a dual-path transformer network to effectively process the 3D volume for semantic occupancy prediction, achieves a long-range, dynamic, and efficient encoding of the camera-generated 3D voxel features.
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