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DSEC

Benchmarks

Task NameDataset NameSOTA ResultTrend
Semantic SegmentationDSEC (test)
mIoU74.94
16
Object DetectionDSEC Corrupted 1.0 (test)
Average mPC5069.5
15
Object DetectionDSEC (test)
mAP (Car)49.9
14
Event-based Semantic SegmentationDSEC-Semantic (test)
Accuracy90.21
14
Semantic SegmentationDSEC
mIoU75.1
13
Event Instance SegmentationDSEC Detection
AP17.8
12
Object DetectionDSEC-DET (in-domain split)
mAP50:9529.1
11
3D Object DetectionDSEC-3DOD
mAP (ALL)37.73
11
Event Part SegmentationDSEC Part
AP18.3
10
Optical Flow EstimationDSEC 11 (test)
EPE0.72
10
Optical Flow EstimationDSEC Fast-motion real (test)
EPE0.58
9
Optical Flow EstimationDSEC Slow-motion real (test)
EPE0.47
9
Depth EstimationDSEC-Degraded Entire Image
EGE1.516
6
Depth EstimationDSEC-Degraded Extreme Illumination Region
AbsRel0.233
6
Depth EstimationDSEC-Degraded Normal Illumination Region
AbsRel0.402
6
Depth EstimationDSEC-Degraded Entire Image (test)
EGE1.516
6
Depth EstimationDSEC-Degraded Extreme Illumination Region (test)
AbsRel0.233
6
Depth EstimationDSEC-Degraded Normal Illumination Region (test)
AbsRel0.402
6
Object DetectionHard-DSEC-DET
mAP50:9521.5
5
Scene FlowDSEC (Night)
EPE0.09
5
Scene FlowDSEC (Day)
EPE0.084
5
Semantic SegmentationDSEC-Semantic (test)
Accuracy0.8937
5
Semantic SegmentationDSEC-Semantic supervised setting
Accuracy89.37
4
Optical Flow EstimationDSEC (zurich_city_05_b and zurich_city_11_c)
EPE0.72
3
Optical FlowDSEC zurich_city_15_a
Endpoint Error (EPE)1.5
2
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