Embracing Single Stride 3D Object Detector with Sparse Transformer
This is the official implementation of paper:
Embracing Single Stride 3D Object Detector with Sparse Transformer
Authors:
Lue Fan,
Ziqi Pang,
Tianyuan Zhang,
Yu-Xiong Wang,
Hang Zhao,
Feng Wang,
Naiyan Wang,
Zhaoxiang Zhang
Paper Link (Check again on Monday)
Introduction and Highlights
- SST is a single-stride network, which maintains original feature resolution from the beginning to the end of the network. Due to the characterisric of single stride, SST achieves exciting performances on small object detection (Pedestrian, Cyclist).
- For simplicity, except for backbone, SST is almost the same with the basic PointPillars in MMDetection3D. With such a basic setting, SST achieves state-of-the-art performance in Pedestrian and Cyclist and outperforms PointPillars more than