SOTAVerified

Prediction Of Occupancy Grid Maps

Papers

Showing 1–7 of 7 papers

TitleStatusHype
DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy PredictionCode2
Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D PerceptionCode1
FB-OCC: 3D Occupancy Prediction based on Forward-Backward View TransformationCode2
Multi-Scale Occ: 4th Place Solution for CVPR 2023 3D Occupancy Prediction Challenge—0
UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering—0
Tri-Perspective View for Vision-Based 3D Semantic Occupancy PredictionCode3
Multi-Step Prediction of Occupancy Grid Maps with Recurrent Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DAOccmIoU53.82—Unverified
2FB-OCC-KmIoU52.79—Unverified
3MiLOmIoU52.45—Unverified
4UniOccmIoU51.27—Unverified
5HyDRa R50mIoU44.4—Unverified
6FB-OCC-HmIoU42.06—Unverified
7FB-OCC-GmIoU40.69—Unverified
8CTF-OccmIoU28.53—Unverified
#ModelMetricClaimedVerifiedStatus
1TPVFormer04mIoU52.06—Unverified