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ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings

CVPR 2020 · 3D vision › 3D generation · approach: Vision-based 3D occupancy prediction · 118 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add the 3D spatial term to the 2D unary term (ablation)ClusterVO CRF · SUNCG ego motionATE: 0.62 -> 0.52Helped
add the 3D spatial term to the 2D unary term (ablation)ClusterVO CRF · SUNCG ego motionR.RPE: 0.19 -> 0.11Helped
add the 3D spatial term to the 2D unary term (ablation)ClusterVO CRF · SUNCG cluster motionATE: 0.24 -> 0.15Helped
add the 3D spatial term to the 2D unary term (ablation)ClusterVO CRF · SUNCG cluster motionR.RPE: 0.31 -> 0.50Mixed
add the motion-consistency term to 2D+3D (ablation)ClusterVO CRF · SUNCG ego motionATE: 0.52 -> 0.61Hurt
add the motion-consistency term to 2D+3D (ablation)ClusterVO CRF · SUNCG cluster motionATE: 0.15 -> 0.13Helped
add the motion-consistency term to 2D+3D (ablation)ClusterVO CRF · SUNCG ego motionR.RPE: 0.11 -> 0.19Mixed
add the motion-consistency term to 2D+3D (ablation)ClusterVO CRF · SUNCG cluster motionR.RPE: 0.50 -> 0.37Hurt

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