Predicting Semantic Map Representations from Images using Pyramid Occupancy Networks

30 March 2020

Papers citing "Predicting Semantic Map Representations from Images using Pyramid Occupancy Networks"

9 / 59 papers shown

Title
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding Kunyu Peng Juncong Fei Kailun Yang Alina Roitberg Jiaming Zhang Frank Bieder Philipp Heidenreich Christoph Stiller Rainer Stiefelhagen 3DPC 30 43 0 01 Jul 2021
Multi-Modal 3D Object Detection in Autonomous Driving: a Survey Yingjie Wang Qi Mao Hanqi Zhu Jiajun Deng Yu Zhang Jianmin Ji Houqiang Li Yanyong Zhang 3DPC 48 139 0 24 Jun 2021
Learning by Watching Jimuyang Zhang Eshed Ohn-Bar EgoV 41 33 0 10 Jun 2021
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras Anthony Hu Zak Murez Nikhil C. Mohan Sofía Dudas Jeffrey Hawke Vijay Badrinarayanan R. Cipolla Alex Kendall 142 254 0 21 Apr 2021
Capturing Omni-Range Context for Omnidirectional Segmentation Kailun Yang Jiaming Zhang Simon Reiß Xinxin Hu Rainer Stiefelhagen 32 71 0 09 Mar 2021
Categorical Depth Distribution Network for Monocular 3D Object Detection Cody Reading Ali Harakeh Julia Chae Steven L. Waslander 3DPC 232 486 0 01 Mar 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas Wenjie Luo R. Urtasun 3DPC 166 365 0 20 Jan 2021
Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D Jonah Philion Sanja Fidler 49 1,015 0 13 Aug 2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study Biao Gao Yancheng Pan Chengkun Li Sibo Geng Huijing Zhao 3DPC 21 25 0 08 Jun 2020