List your company

3D semantic occupancy prediction on nuScenes

20.3mIoUSurroundOcc
6.790410.297713.80517.3123Mar 19, 2026Apr 3, 2026Apr 18, 2026May 3, 2026May 18, 2026Jun 2, 2026Jun 18, 2026

Evaluation results

MethodLinks
SurroundOcc2026.0320.331.4920.5911.6828.0630.8610.715.1414.0912.0614.3822.2637.2923.724.4922.7714.8921.86———
QuadricFormer2026.0320.1231.2219.5813.1127.2729.6411.2516.2612.659.1512.5121.2440.224.3425.6924.2412.9521.86———
DriveTok2026.0320.0633.3220.049.8126.1127.8711.1413.449.528.6512.6720.4441.7925.3127.6826.3716.5923.57———
GaussianFormer-22026.0320.0230.5620.1512.9927.6130.2311.1915.3112.649.6313.3122.2639.6823.4725.6223.212.2520.73———
HilDADimensionality=3D, Evaluation Protocol=Frozen Pre-trained Backbone, Metrics=Frame-averaged2026.0620—————————————————14.520.230.4
GaussianFormer2026.0319.129.8319.5211.2626.1129.7810.4713.8312.588.6712.7421.5739.6323.2824.4622.999.5919.12———
OccFormer2026.0319.0331.3918.6510.4123.9230.2910.3114.1913.5910.1312.4920.7738.7819.7924.1922.2113.4821.35———
HilDA†Dimensionality=3D, Evaluation Protocol=Frozen Pre-trained Backbone, Metrics=Frame-averaged2026.0619—————————————————13.31930.2
HilDADimensionality=4D, Evaluation Protocol=Frozen Pre-trained Backbone, Metrics=Frame-averaged2026.0618.4—————————————————11.420.230.5
HilDA†Dimensionality=4D, Evaluation Protocol=Frozen Pre-trained Backbone, Metrics=Frame-averaged2026.0617.3—————————————————10.118.530.4
TPVFormer2026.0317.130.8615.965.3123.8627.329.798.747.095.210.9719.2238.8721.2524.2623.1511.7320.81———
BEVFormer2026.0316.7530.514.226.5823.4628.288.6610.776.644.0511.217.7837.281822.8822.1713.822.21———
CDDimensionality=3D, Evaluation Protocol=Frozen Pre-trained Backbone, Metrics=Frame-averaged2026.0616.5—————————————————1016.529.4
ScaLRDimensionality=3D, Evaluation Protocol=Frozen Pre-trained Backbone, Metrics=Frame-averaged2026.0616.2—————————————————9.516.429.4
CDDimensionality=4D, Evaluation Protocol=Frozen Pre-trained Backbone, Metrics=Frame-averaged2026.0615.5—————————————————816.529.6
Atlas2026.031528.6610.645.6819.6624.948.98.846.473.2810.4216.2134.8615.4621.8920.9511.2120.54———
ScaLRDimensionality=4D, Evaluation Protocol=Frozen Pre-trained Backbone, Metrics=Frame-averaged2026.0614.9—————————————————7.115.929.5
SFDimensionality=3D, Evaluation Protocol=Frozen Pre-trained Backbone, Metrics=Frame-averaged2026.0612.5—————————————————5.212.125.7
SFDimensionality=4D, Evaluation Protocol=Frozen Pre-trained Backbone, Metrics=Frame-averaged2026.0611.9—————————————————4.912.225.6
RandomDimensionality=3D, Evaluation Protocol=Frozen Pre-trained Backbone, Metrics=Frame-averaged2026.0610.6—————————————————3.710.624.4
RandomDimensionality=4D, Evaluation Protocol=Frozen Pre-trained Backbone, Metrics=Frame-averaged2026.0610.3—————————————————3.110.724.4
MonoScene2026.037.3123.964.030.3588.042.90.281.160.674.014.3527.725.215.1311.299.0314.86———