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SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular
  3D Detection of Large Objects

SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects

29 March 2024
Abhinav Kumar
Yuliang Guo
Xinyu Huang
Liu Ren
Xiaoming Liu
    3DPC
ArXivPDFHTML

Papers citing "SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects"

8 / 8 papers shown
Title
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D
  Object Detection
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection
Jinhyung D. Park
Chenfeng Xu
Shijia Yang
Kurt Keutzer
Kris M. Kitani
M. Tomizuka
Wei Zhan
73
153
0
05 Oct 2022
BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection
  with Dynamic Temporal Stereo
BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic Temporal Stereo
Yinhao Li
Han Bao
Zheng Ge
Jinrong Yang
Jian‐Yuan Sun
Zeming Li
66
110
0
21 Sep 2022
3D Object Detection from Images for Autonomous Driving: A Survey
3D Object Detection from Images for Autonomous Driving: A Survey
Xinzhu Ma
Wanli Ouyang
Andrea Simonelli
Elisa Ricci
3DPC
66
90
0
07 Feb 2022
FIERY: Future Instance Prediction in Bird's-Eye View from Surround
  Monocular Cameras
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
128
213
0
21 Apr 2021
Categorical Depth Distribution Network for Monocular 3D Object Detection
Categorical Depth Distribution Network for Monocular 3D Object Detection
Cody Reading
Ali Harakeh
Julia Chae
Steven L. Waslander
3DPC
205
475
0
01 Mar 2021
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
152
482
0
26 Aug 2019
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
154
3,574
0
09 Dec 2016
A simpler approach to obtaining an O(1/t) convergence rate for the
  projected stochastic subgradient method
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method
Simon Lacoste-Julien
Mark W. Schmidt
Francis R. Bach
109
253
0
10 Dec 2012
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