We implement MVX-Net and provide its results and models on KITTI dataset.
@inproceedings{sindagi2019mvx,
title={MVX-Net: Multimodal voxelnet for 3D object detection},
author={Sindagi, Vishwanath A and Zhou, Yin and Tuzel, Oncel},
booktitle={2019 International Conference on Robotics and Automation (ICRA)},
pages={7276--7282},
year={2019},
organization={IEEE}
}
| Backbone | Class | Lr schd | Mem (GB) | Inf time (fps) | mAP | Download |
|---|---|---|---|---|---|---|
| SECFPN | 3 Class | cosine 80e | 6.7 | 63.0 | model | log |