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3D Object Detection on EmbodiedScan (Vocabulary Breakdown)

0.1907AP (Large-Vocabulary, IoU=0.25)Multi-Modality
0.0256520.0685010.111350.154199Dec 26, 2023

Evaluation results

MethodLinks
Multi-ModalityInput=RGB-D2023.120.19070.51560.11570.28150.23540.60230.1580.44990.01240.1774
Depth-OnlyInput=Depth2023.120.17160.5140.10520.25750.21390.61140.13270.41580.02740.2091
Embodied PerceptronInput=RGB-D2023.120.16850.51070.09770.28210.28650.67510.12830.50460.07090.3152
FCAF3D + our decoder + paintingInput=RGB-D2023.120.1510.51320.08640.26660.26230.67530.11390.50640.0580.3213
FCAF3D + our decoderInput=Depth2023.120.1480.51180.08770.27460.25980.67120.10850.50080.05720.3285
Camera-OnlyInput=RGB2023.120.1280.34610.04250.13070.1740.44790.07640.24220.00030.0309
FCAF3DInput=Depth2023.120.09070.44230.04110.20220.16540.61380.06730.42770.02670.2483
ImVoxelNetInput=RGB2023.120.06150.20390.02410.06310.10960.34290.04120.1540.02630.0921
VoteNetInput=Depth2023.120.0320.06110.00380.01220.06310.12260.01810.03340.010.0183