Weakly Supervised 3D Detection
3 papers with code • 1 benchmarks • 0 datasets
3D detection without using LiDAR annotations
Benchmarks
These leaderboards are used to track progress in Weakly Supervised 3D Detection
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Most implemented papers
Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors
We present an automatic annotation pipeline to recover 9D cuboids and 3D shapes from pre-trained off-the-shelf 2D detectors and sparse LIDAR data.
WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection
spengliang/weakm3d
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ICLR 2022
This network is learned by minimizing our newly-proposed 3D alignment loss between the 3D box estimates and the corresponding RoI LiDAR points.
VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection
In the auto-labeling stage, we represent the surface of each instance as a signed distance field (SDF) and render its silhouette as an instance mask through our proposed instance-aware volumetric silhouette rendering.
