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Models/PointPillars

PointPillars

Reported on 31 benchmarks across 7 tasks · 2 papers · 19 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology20 results

3DonDAIR-V2X-I
AP|R40(easy)· 2018-12-14
63.1
best: 90.92 (MonoUNI)
SOTA
PointPillars: Fast Encoders for Object Detection from Point Clouds arXiv:1812.05784
3DonDAIR-V2X-I
AP|R40(hard)· 2018-12-14
54
best: 87.2 (MonoUNI)
SOTA
PointPillars: Fast Encoders for Object Detection from Point Clouds arXiv:1812.05784
3DonDAIR-V2X-I
AP|R40(moderate)· 2018-12-14
54
best: 87.2 (MonoUNI)
SOTA
PointPillars: Fast Encoders for Object Detection from Point Clouds arXiv:1812.05784
2D ClassificationonDAIR-V2X-I
AP|R40(easy)· 2018-12-14
63.1
best: 90.92 (MonoUNI)
SOTA
PointPillars: Fast Encoders for Object Detection from Point Clouds arXiv:1812.05784
2D ClassificationonDAIR-V2X-I
AP|R40(hard)· 2018-12-14
54
best: 87.2 (MonoUNI)
SOTA
PointPillars: Fast Encoders for Object Detection from Point Clouds arXiv:1812.05784
2D ClassificationonDAIR-V2X-I
AP|R40(moderate)· 2018-12-14
54
best: 87.2 (MonoUNI)
SOTA
PointPillars: Fast Encoders for Object Detection from Point Clouds arXiv:1812.05784
2D Object DetectiononDAIR-V2X-I
AP|R40(easy)· 2018-12-14
63.1
best: 90.92 (MonoUNI)
SOTA
PointPillars: Fast Encoders for Object Detection from Point Clouds arXiv:1812.05784
2D Object DetectiononDAIR-V2X-I
AP|R40(hard)· 2018-12-14
54
best: 87.2 (MonoUNI)
SOTA
PointPillars: Fast Encoders for Object Detection from Point Clouds arXiv:1812.05784
2D Object DetectiononDAIR-V2X-I
AP|R40(moderate)· 2018-12-14
54
best: 87.2 (MonoUNI)
SOTA
PointPillars: Fast Encoders for Object Detection from Point Clouds arXiv:1812.05784
16konDAIR-V2X-I
AP|R40(easy)· 2018-12-14
63.1
best: 90.92 (MonoUNI)
SOTA
PointPillars: Fast Encoders for Object Detection from Point Clouds arXiv:1812.05784
16konDAIR-V2X-I
AP|R40(hard)· 2018-12-14
54
best: 87.2 (MonoUNI)
SOTA
PointPillars: Fast Encoders for Object Detection from Point Clouds arXiv:1812.05784
16konDAIR-V2X-I
AP|R40(moderate)· 2018-12-14
54
best: 87.2 (MonoUNI)
SOTA
PointPillars: Fast Encoders for Object Detection from Point Clouds arXiv:1812.05784
3DonnuScenes
NDS· 2019-03-26
0.442
best: 55.3 (LabelDistill)
nuScenes: A multimodal dataset for autonomous driving arXiv:1903.11027
2D ClassificationonnuScenes
NDS· 2019-03-26
0.442
best: 55.3 (LabelDistill)
nuScenes: A multimodal dataset for autonomous driving arXiv:1903.11027
2D Object DetectiononnuScenes
NDS· 2019-03-26
0.442
best: 55.3 (LabelDistill)
nuScenes: A multimodal dataset for autonomous driving arXiv:1903.11027
16konnuScenes
NDS· 2019-03-26
0.442
best: 55.3 (LabelDistill)
nuScenes: A multimodal dataset for autonomous driving arXiv:1903.11027
3DonView-of-Delft (val)
mAP
45.2
best: 60.9 (HyDRa)
2D ClassificationonView-of-Delft (val)
mAP
45.2
best: 60.9 (HyDRa)
2D Object DetectiononView-of-Delft (val)
mAP
45.2
best: 60.9 (HyDRa)
16konView-of-Delft (val)
mAP
45.2
best: 60.9 (HyDRa)

Computer Vision11 results

Object DetectiononDAIR-V2X-I
AP|R40(easy)· 2018-12-14
63.1
best: 90.92 (MonoUNI)
SOTA
PointPillars: Fast Encoders for Object Detection from Point Clouds arXiv:1812.05784
Object DetectiononDAIR-V2X-I
AP|R40(hard)· 2018-12-14
54
best: 87.2 (MonoUNI)
SOTA
PointPillars: Fast Encoders for Object Detection from Point Clouds arXiv:1812.05784
Object DetectiononDAIR-V2X-I
AP|R40(moderate)· 2018-12-14
54
best: 87.2 (MonoUNI)
SOTA
PointPillars: Fast Encoders for Object Detection from Point Clouds arXiv:1812.05784
Birds Eye View Object DetectiononKITTI Cars Hard
AP· 2018-12-14
79.83
best: 86.89 (STD)
SOTA
PointPillars: Fast Encoders for Object Detection from Point Clouds arXiv:1812.05784
3D Object DetectiononDAIR-V2X-I
AP|R40(easy)· 2018-12-14
63.1
best: 90.92 (MonoUNI)
SOTA
PointPillars: Fast Encoders for Object Detection from Point Clouds arXiv:1812.05784
3D Object DetectiononDAIR-V2X-I
AP|R40(hard)· 2018-12-14
54
best: 87.2 (MonoUNI)
SOTA
PointPillars: Fast Encoders for Object Detection from Point Clouds arXiv:1812.05784
3D Object DetectiononDAIR-V2X-I
AP|R40(moderate)· 2018-12-14
54
best: 87.2 (MonoUNI)
SOTA
PointPillars: Fast Encoders for Object Detection from Point Clouds arXiv:1812.05784
Object DetectiononnuScenes
NDS· 2019-03-26
0.442
best: 55.3 (LabelDistill)
nuScenes: A multimodal dataset for autonomous driving arXiv:1903.11027
3D Object DetectiononnuScenes
NDS· 2019-03-26
0.442
best: 55.3 (LabelDistill)
nuScenes: A multimodal dataset for autonomous driving arXiv:1903.11027
Object DetectiononView-of-Delft (val)
mAP
45.2
best: 60.9 (HyDRa)
3D Object DetectiononView-of-Delft (val)
mAP
45.2
best: 60.9 (HyDRa)