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Benchmarks
3D Object Detection on ScanNet (R/A Metrics)
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89.16
Recall @ IoU=0.25
3D Base
81.4744
83.4697
85.465
87.4603
Sep 18, 2025
Recall @ IoU=0.25
Recall @ IoU=0.50
Accuracy @ IoU=0.25
Accuracy @ IoU=0.50
Updated 1mo ago
Evaluation Results
Method
Method
Links
Recall @ IoU=0.25
Recall @ IoU=0.50
Accuracy @ IoU=0.25
Accuracy @ IoU=0.50
3D Base
FLOPs (GFLOPs)=823.44
2025.09
89.16
42.36
38.47
10.51
TriLift-F(1/2)
FLOPs (GFLOPs)=152.95
2025.09
88.67
36.45
21.08
4.26
TriLift-F(1/4)
FLOPs (GFLOPs)=38.82
2025.09
85.71
30.05
18.55
2.01
3D Sparse
FLOPs (GFLOPs)=395.44
2025.09
82.37
26.69
16.87
1.55
TriLift-B
FLOPs (GFLOPs)=28.21
2025.09
81.77
22.17
19.36
1.35
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