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3D Object Detection on EmbodiedScan (Vocabulary Breakdown)

0.1907AP (Large-Vocabulary, IoU=0.25)

Multi-Modality

Updated 4d ago

Evaluation Results

Method	Links
Multi-Modality 2023.12		0.1907	0.5156	0.1157	0.2815	0.2354	0.6023	0.158	0.4499	0.0124	0.1774
Depth-Only 2023.12		0.1716	0.514	0.1052	0.2575	0.2139	0.6114	0.1327	0.4158	0.0274	0.2091
Embodied Perceptron 2023.12		0.1685	0.5107	0.0977	0.2821	0.2865	0.6751	0.1283	0.5046	0.0709	0.3152
FCAF3D + our decoder + painting 2023.12		0.151	0.5132	0.0864	0.2666	0.2623	0.6753	0.1139	0.5064	0.058	0.3213
FCAF3D + our decoder 2023.12		0.148	0.5118	0.0877	0.2746	0.2598	0.6712	0.1085	0.5008	0.0572	0.3285
Camera-Only 2023.12		0.128	0.3461	0.0425	0.1307	0.174	0.4479	0.0764	0.2422	0.0003	0.0309
FCAF3D 2023.12		0.0907	0.4423	0.0411	0.2022	0.1654	0.6138	0.0673	0.4277	0.0267	0.2483
ImVoxelNet 2023.12		0.0615	0.2039	0.0241	0.0631	0.1096	0.3429	0.0412	0.154	0.0263	0.0921
VoteNet 2023.12		0.032	0.0611	0.0038	0.0122	0.0631	0.1226	0.0181	0.0334	0.01	0.0183