Papers › Multi-Scale Occ: 4th Place Solution for CVPR 2023 3D Occupancy Prediction Challenge
Multi-Scale Occ: 4th Place Solution for CVPR 2023 3D Occupancy Prediction Challenge
Yangyang Ding, Luying Huang, Jiachen Zhong
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.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Prediction Of Occupancy Grid Maps | Occ3D-nuScenes | MiLO | mIoU | 52.45 | #3 of 8 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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