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AOP-Net: All-in-One Perception Network for Joint LiDAR-based 3D Object
  Detection and Panoptic Segmentation

AOP-Net: All-in-One Perception Network for Joint LiDAR-based 3D Object Detection and Panoptic Segmentation

2 February 2023
Yixuan Xu
H. Fazlali
Y. Ren
Bingbing Liu
    3DPC
ArXivPDFHTML

Papers citing "AOP-Net: All-in-One Perception Network for Joint LiDAR-based 3D Object Detection and Panoptic Segmentation"

4 / 4 papers shown
Title
ConvMLP: Hierarchical Convolutional MLPs for Vision
ConvMLP: Hierarchical Convolutional MLPs for Vision
Jiachen Li
Ali Hassani
Steven Walton
Humphrey Shi
43
55
0
09 Sep 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
286
2,611
0
04 May 2021
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via
  Firing of Hotspots
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots
Qi Chen
Lin Sun
Zhixin Wang
Kui Jia
Alan Yuille
3DPC
170
169
0
30 Dec 2019
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
Benjin Zhu
Zhengkai Jiang
Xiangxin Zhou
Zeming Li
Gang Yu
3DPC
169
484
0
26 Aug 2019
1