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3D Semantic Occupancy Prediction on OpenOccupancy

24.5mIoUALOcc-2D-GF
6.19610.94815.720.452Dec 8, 2024Mar 10, 2025Jun 11, 2025Sep 12, 2025Dec 14, 2025Mar 17, 2026Jun 18, 2026

Evaluation results

MethodLinks
ALOcc-2D-GFInput=C&D, Backbone=ResNet-50, Input Img. Size=900 x 1600, FPS=0.8, Memory=138912025.0424.521.634.5————————————————
OccLoffInput=C&L, Backbone=ResNet-101, Input Img. Size=900 x 1600, FPS=3.5, Memory=80892025.0422.921.131.4————————————————
ALOcc-2D*Input=C&D, Backbone=ResNet-50, Input Img. Size=900 x 1600, FPS=0.8, Memory=138392025.0422.420.330.4————————————————
M-OccGenInput=C&L, Backbone=ResNet-50, Input Img. Size=900 x 1600, FPS=2.32025.04222030.3————————————————
Co-OccInput=C&L, Backbone=ResNet-101, Input Img. Size=900 x 16002025.0421.919.530.6————————————————
M-CONetInput=C&L, Backbone=ResNet-50, Input Img. Size=900 x 1600, FPS=2.92025.0420.11829.5————————————————
ALOcc-2D-GFInput=C, Backbone=ResNet-50, Input Img. Size=900 x 1600, FPS=0.8, Memory=138572025.0417.913.728.6————————————————
L-OccGenInput=L, FPS=3.72025.0416.811.831.6————————————————
L-OccGenNumber of parameters=62M, Training status=end-to-end2026.0616.8—31.618.85.114.819.677.711.56.713.914.636.422.122.822.320.624.5
L-CONetInput=L, FPS=42025.0415.810.830.9————————————————
L-CONetNumber of parameters=63M, Training status=end-to-end2026.0615.8—30.917.55.213.318.17.85.49.65.613.213.634.921.522.421.719.223.5
ALOcc-2D*Input=C, Backbone=ResNet-50, Input Img. Size=900 x 1600, FPS=0.8, Memory=138052025.0415.711.525.2————————————————
LightOccModality=Camera2024.1215.6—25.416.29.715.118.59.212.312.18.37.814.233.122.522.720.911.415.9
C-OccGenInput=C, Backbone=ResNet-50, Input Img. Size=900 x 1600, FPS=32025.0414.511.723.4————————————————
OccGenModality=Camera2024.1214.5—23.415.59.115.319.27.311.311.88.95.913.734.82221.819.569.9
OccMambaModality=Camera2024.1213.2—21.713.27.415.317.66.110.310.36.56.213.332.920.519.817.44.88.7
HilDANumber of parameters=39.5M (39.1M backbone + 0.4M head), Backbone training status=frozen, Decoder head=lightweight (0.4M)2026.0613—3011.61.57.919.63.54.622.65.85.311.228.48.913.214.523.326.2
C-CONetInput=C, Backbone=ResNet-50, Input Img. Size=900 x 1600, FPS=3.52025.0412.810.620.1————————————————
CONetModality=Camera2024.1212.8—20.113.28.115.417.26.311.2108.34.712.131.418.818.716.34.88.2
L-OpenOccupancyNumber of parameters=63M, Training status=end-to-end2026.0611.7—30.812.24.21112.28.34.48.748.410.323.51614.915.71517.9
3DSketch+Input=C&D, Backbone=ResNet-50, Input Img. Size=900 x 16002025.0410.77.425.6————————————————
AICNet+Input=C&D, Backbone=ResNet-50, Input Img. Size=900 x 16002025.0410.67.423.8————————————————
OpenOccupancyModality=Camera2024.1210.3—19.39.96.811.211.56.38.48.64.34.29.92215.814.113.57.310.2
TPVFormerInput=C, Backbone=ResNet-50, Input Img. Size=900 x 16002025.047.811.715.3————————————————
TPVFormerModality=Camera2024.127.8—15.39.34.111.310.15.24.35.95.36.86.513.698.389.28.2
MonoSceneModality=Camera2024.126.9—18.47.13.99.37.25.635.94.44.94.214.96.37.97.4107.6