2 papers with code • 1 benchmarks • 2 datasets
3D Car Instance Understanding is the task of estimating properties (e.g.translation, rotation and shape) of a moving or parked vehicle on the road.
( Image credit: Occlusion-Net )
Central to this work is a trifocal tensor loss that provides indirect self-supervision for occluded keypoint locations that are visible in other views of the object.
Ranked #1 on Vehicle Pose Estimation on CarFusion
GSNet utilizes a unique four-way feature extraction and fusion scheme and directly regresses 6DoF poses and shapes in a single forward pass.
Ranked #1 on 3D Car Instance Understanding on ApolloCar3D