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Models/D4LCN

D4LCN

Reported on 9 benchmarks across 8 tasks · 1 paper · 6 SOTA

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

Methodology5 results

3DonKITTI Cars Moderate
AP Medium· uses extra data· 2019-12-10
11.72
best: 20.95 (CIE)
SOTA
Learning Depth-Guided Convolutions for Monocular 3D Object Detection arXiv:1912.04799
2D ClassificationonKITTI Cars Moderate
AP Medium· uses extra data· 2019-12-10
11.72
best: 20.95 (CIE)
SOTA
Learning Depth-Guided Convolutions for Monocular 3D Object Detection arXiv:1912.04799
2D Object DetectiononKITTI Cars Moderate
AP Medium· uses extra data· 2019-12-10
11.72
best: 20.95 (CIE)
SOTA
Learning Depth-Guided Convolutions for Monocular 3D Object Detection arXiv:1912.04799
16konKITTI Cars Moderate
AP Medium· uses extra data· 2019-12-10
11.72
best: 20.95 (CIE)
SOTA
Learning Depth-Guided Convolutions for Monocular 3D Object Detection arXiv:1912.04799
3DonKITTI Cars Hard
Average Orientation Similarity· 2019-12-10
63.98
best: 80.96 (Ego-Net (Monocular RGB only))
Learning Depth-Guided Convolutions for Monocular 3D Object Detection arXiv:1912.04799

Computer Vision3 results

Object DetectiononKITTI Cars Moderate
AP Medium· uses extra data· 2019-12-10
11.72
best: 20.95 (CIE)
SOTA
Learning Depth-Guided Convolutions for Monocular 3D Object Detection arXiv:1912.04799
3D Object DetectiononKITTI Cars Moderate
AP Medium· uses extra data· 2019-12-10
11.72
best: 20.95 (CIE)
SOTA
Learning Depth-Guided Convolutions for Monocular 3D Object Detection arXiv:1912.04799
Pose EstimationonKITTI Cars Hard
Average Orientation Similarity· 2019-12-10
63.98
best: 80.96 (Ego-Net (Monocular RGB only))
Learning Depth-Guided Convolutions for Monocular 3D Object Detection arXiv:1912.04799

Audio1 result

1 Image, 2*2 StitchionKITTI Cars Hard
Average Orientation Similarity· 2019-12-10
63.98
best: 80.96 (Ego-Net (Monocular RGB only))
Learning Depth-Guided Convolutions for Monocular 3D Object Detection arXiv:1912.04799