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Multi-Scale Occ: 4th Place Solution for CVPR 2023 3D Occupancy Prediction Challenge
Yangyang Ding; Luying Huang; Jiachen Zhong

Abstract
In this report, we present the 4th place solution for CVPR 2023 3D occupancy prediction challenge. We propose a simple method called Multi-Scale Occ for occupancy prediction based on lift-splat-shoot framework, which introduces multi-scale image features for generating better multi-scale 3D voxel features with temporal fusion of multiple past frames. Post-processing including model ensemble, test-time augmentation, and class-wise thresh are adopted to further boost the final performance. As shown on the leaderboard, our proposed occupancy prediction method ranks the 4th place with 49.36 mIoU.
Benchmarks
| Benchmark | Methodology | Metrics |
|---|---|---|
| prediction-of-occupancy-grid-maps-on-occ3d | MiLO | mIoU: 52.45 |
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