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PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram
To address above issue, we first unveil the importance of different input information during PFE and identify the height dimension as a key factor in enhancing 3D detection performance.
Rethinking Iterative Stereo Matching from Diffusion Bridge Model Perspective
The discrete optimization process poses a challenge of information loss, which restricts the level of detail that can be expressed in the generated disparity map.
SVDM: Single-View Diffusion Model for Pseudo-Stereo 3D Object Detection
One of the key problems in 3D object detection is to reduce the accuracy gap between methods based on LiDAR sensors and those based on monocular cameras.
Stereo CenterNet based 3D Object Detection for Autonomous Driving
In this study, we propose a 3D object detection method, Stereo CenterNet (SC), using geometric information in stereo imagery.
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