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MT-Net Submission to the Waymo 3D Detection Leaderboard
[article]
2022
arXiv
pre-print
Preserved Fulltext
Our submission currently ranks 4th place with 78.45 mAPH on the Waymo 3D Detection leaderboard. ...
In this technical report, we introduce our submission to the Waymo 3D Detection leaderboard. Our network is based on the Centerpoint architecture, but with significant improvements. ...
We train the model for a total of 20 epochs. Training one model takes about 3 days.
Results Main Results. Table 1 shows the entries of the Waymo 3D detection leaderboard as of July 11, 2022. ...
arXiv:2207.04781v1
fatcat:zj74qeb2abbrxjnse3pb2w32wi
LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion
[article]
2023
arXiv
pre-print
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Notably, LoGoNet ranks 1st on Waymo 3D object detection leaderboard and obtains 81.02 mAPH (L2) detection performance. ...
Extensive experiments on both Waymo Open Dataset (WOD) and KITTI datasets show that LoGoNet outperforms all state-of-the-art 3D detection methods. ...
Table 1 . 1 Performance comparison on the Waymo 3D detection leaderboard. ...
arXiv:2303.03595v2
fatcat:gdisf6fd4vhmnprf76542xtzmu
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art
[article]
2021
arXiv
pre-print
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2019 pre-print arXiv:1704.05519v2 fatcat:vg2fezsgyzgptbpbvnwcpw24qyOther Versions
As with any rapidly growing field, it becomes increasingly difficult to stay up-to-date or enter the field as a beginner. ...
This book attempts to narrow this gap by providing a survey on the state-of-the-art datasets and techniques. ...
Table 6 . 2 : 62 MOT17 Multi Object Tracking Leaderboard using Provided Detections. We report the Multiple Object Tracking Accuracy MOTA IDF1 MT ML IDS FRAG Hz 1. ...
arXiv:1704.05519v3
fatcat:xiintiarqjbfldheeg2hsydyra
TOWARDS AUTONOMOUS DRIVING IN DENSE, HETEROGENEOUS, AND UNSTRUCTURED TRAFFIC
[article]
2022
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We evaluate our perception work on tracking and trajectory prediction using standard autonomous driving datasets such as the Waymo Open Motion, Argoverse, NuScenes datasets, as well as public leaderboards ...
We conclude the presentation with a discussi [...] ...
Acknowledgments This dissertation was carried out through the collective efforts of many individuals. My advisor Dinesh Manocha deserves, of course, the first mention. ...
doi:10.13016/smhh-hrwd
fatcat:44lrwgk6bzhuvmy6ccpd6r3ewm
Resource-Constrained Learning and Inference for Visual Perception
2022
Preserved Fulltext
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long-range 3D detection. ...
object detection with backcasting for end-to-end detection, tracking and forecasting. ...
We study the impact of range as a tunable parameter for 3D object detection. ...
doi:10.1184/r1/19942133.v1
fatcat:rcoexlaxrfghtep2ba5s46pgmq