MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense
Top-View Understanding

MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding

1 July 2021

Kailun Yang

Philipp Heidenreich

Christoph Stiller

Rainer Stiefelhagen

Papers citing "MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding"

6 / 6 papers shown

Title
Circular Accessible Depth: A Robust Traversability Representation for UGV Navigation Shikuan Xie Ran Song Yuenan Zhao Xueqin Huang Yibin Li Wei Zhang 25 9 0 28 Dec 2022
A Taxonomy of Semantic Information in Robot-Assisted Disaster Response Tianshu Ruan Hao Wang Rustam Stolkin Manolis Chiou 16 1 0 30 Sep 2022
Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference Aishwarya Unnikrishnan Joey Wilson Lu Gan Andrew Capodieci P. Jayakumar Kira Barton Maani Ghaffari 3DPC 27 7 0 06 Aug 2021
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network Ran Cheng Ryan Razani E. Taghavi Enxu Li Bingbing Liu 3DPC 153 241 0 08 Feb 2021
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,087 0 02 Dec 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 435 15,631 0 02 Nov 2015