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BoxCars: Improving Fine-Grained Recognition of Vehicles using 3-D
  Bounding Boxes in Traffic Surveillance

BoxCars: Improving Fine-Grained Recognition of Vehicles using 3-D Bounding Boxes in Traffic Surveillance

2 March 2017
Jakub Sochor
Jakub Špaňhel
A. Herout
    CVBM
ArXivPDFHTML

Papers citing "BoxCars: Improving Fine-Grained Recognition of Vehicles using 3-D Bounding Boxes in Traffic Surveillance"

12 / 12 papers shown
Title
Efficient Vision-based Vehicle Speed Estimation
Efficient Vision-based Vehicle Speed Estimation
Andrej Macko
Lukás Gajdosech
Viktor Kocur
247
0
0
02 May 2025
A Fine-Grained Vehicle Detection (FGVD) Dataset for Unconstrained Roads
A Fine-Grained Vehicle Detection (FGVD) Dataset for Unconstrained Roads
Prafful Kumar Khoba
Chirag Parikh
Rohit Saluja
Ravi Kiran Sarvadevabhatla
C. V. Jawahar
31
3
0
30 Dec 2022
ATEAM: Knowledge Integration from Federated Datasets for Vehicle Feature
  Extraction using Annotation Team of Experts
ATEAM: Knowledge Integration from Federated Datasets for Vehicle Feature Extraction using Annotation Team of Experts
Abhijit Suprem
Purva Singh
Suma Cherkadi
Sanjyot Vaidya
J. Ferreira
C. Pu
24
0
0
16 Nov 2022
Rope3D: TheRoadside Perception Dataset for Autonomous Driving and
  Monocular 3D Object Detection Task
Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task
Xiaoqing Ye
Mao Shu
Hanyu Li
Yifeng Shi
Yingying Li
Guan-Sheng Wang
Xiao Tan
Errui Ding
24
102
0
25 Mar 2022
Network-level Safety Metrics for Overall Traffic Safety Assessment: A
  Case Study
Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study
Xiwen Chen
Hongya Wang
Abolfazl Razi
Brendan J. Russo
Jason L. Pacheco
J. Roberts
Jeffery Wishart
L. Head
Alonso Granados Baca
40
8
0
27 Jan 2022
An Empirical Analysis of Visual Features for Multiple Object Tracking in
  Urban Scenes
An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes
Mehdi Miah
J. Pepin
Nicolas Saunier
Guillaume-Alexandre Bilodeau
VOT
15
5
0
15 Oct 2020
Vehicle Attribute Recognition by Appearance: Computer Vision Methods for
  Vehicle Type, Make and Model Classification
Vehicle Attribute Recognition by Appearance: Computer Vision Methods for Vehicle Type, Make and Model Classification
Xingyang Ni
H. Huttunen
CVBM
19
20
0
29 Jun 2020
The Devil is in the Details: Self-Supervised Attention for Vehicle
  Re-Identification
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification
Pirazh Khorramshahi
Neehar Peri
Jun-Cheng Chen
Rama Chellappa
21
135
0
14 Apr 2020
Detection of 3D Bounding Boxes of Vehicles Using Perspective
  Transformation for Accurate Speed Measurement
Detection of 3D Bounding Boxes of Vehicles Using Perspective Transformation for Accurate Speed Measurement
Viktor Kocur
Milan Ftácnik
30
30
0
29 Mar 2020
Automated Focal Loss for Image based Object Detection
Automated Focal Loss for Image based Object Detection
Michael Weber
Michael Fürst
Johann Marius Zöllner
29
26
0
19 Apr 2019
Vehicle classification using ResNets, localisation and
  spatially-weighted pooling
Vehicle classification using ResNets, localisation and spatially-weighted pooling
Rohan Watkins
Nick E. Pears
S. Manandhar
28
10
0
15 Oct 2018
Using Deep Learning and Google Street View to Estimate the Demographic
  Makeup of the US
Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US
Timnit Gebru
J. Krause
Yilun Wang
Duyun Chen
Jia Deng
Erez Aiden Lieberman
Li Fei-Fei
HAI
93
414
0
22 Feb 2017
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