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A Large Contextual Dataset for Classification, Detection and Counting of
  Cars with Deep Learning

A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning

14 September 2016
T. Nathan Mundhenk
G. Konjevod
W. Sakla
K. Boakye
ArXivPDFHTML

Papers citing "A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning"

42 / 42 papers shown
Title
FocalCount: Towards Class-Count Imbalance in Class-Agnostic Counting
FocalCount: Towards Class-Count Imbalance in Class-Agnostic Counting
Huilin Zhu
Jingling Yuan
Zhengwei Yang
Yu Guo
Xian Zhong
Shengfeng He
44
0
0
15 Feb 2025
CountGD: Multi-Modal Open-World Counting
CountGD: Multi-Modal Open-World Counting
Niki Amini-Naieni
Tengda Han
Andrew Zisserman
ObjD
64
8
0
05 Jul 2024
Zero-Shot Object Counting with Language-Vision Models
Zero-Shot Object Counting with Language-Vision Models
Jingyi Xu
Hieu M. Le
Dimitris Samaras
VLM
DiffM
35
4
0
22 Sep 2023
Remote Sensing Object Detection Meets Deep Learning: A Meta-review of
  Challenges and Advances
Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances
Xiangrong Zhang
Tianyang Zhang
Guanchun Wang
Peng Zhu
Xu Tang
Xiuping Jia
Licheng Jiao
ObjD
49
46
0
13 Sep 2023
STEERER: Resolving Scale Variations for Counting and Localization via
  Selective Inheritance Learning
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning
Tao Han
Lei Bai
Lin Liu
Wanli Ouyang
24
36
0
21 Aug 2023
Zero-shot Object Counting
Zero-shot Object Counting
Jingyi Xu
Hieu M. Le
Vu Nguyen
Viresh Ranjan
Dimitris Samaras
29
41
0
03 Mar 2023
GCNet: Probing Self-Similarity Learning for Generalized Counting Network
GCNet: Probing Self-Similarity Learning for Generalized Counting Network
Mingjie Wang
Yande Li
Jun Zhou
Graham W. Taylor
Minglun Gong
23
11
0
10 Feb 2023
A Low-Shot Object Counting Network With Iterative Prototype Adaptation
A Low-Shot Object Counting Network With Iterative Prototype Adaptation
Nikola Djukic
A. Lukežič
Vitjan Zavrtanik
Matej Kristan
19
45
0
15 Nov 2022
Centerpoints Are All You Need in Overhead Imagery
Centerpoints Are All You Need in Overhead Imagery
James Mason Inder
Mark Lowell
A. J. Maltenfort
3DPC
36
2
0
04 Oct 2022
Dense-TNT: Efficient Vehicle Type Classification Neural Network Using
  Satellite Imagery
Dense-TNT: Efficient Vehicle Type Classification Neural Network Using Satellite Imagery
Ruikang Luo
Yaofeng Song
Haiying Zhao
Yicheng Zhang
Yi Zhang
Nanbin Zhao
Liping Huang
Rong Su
ViT
16
11
0
27 Sep 2022
Empirical Evaluation of Physical Adversarial Patch Attacks Against
  Overhead Object Detection Models
Empirical Evaluation of Physical Adversarial Patch Attacks Against Overhead Object Detection Models
Gavin Hartnett
Li Ang Zhang
Caolionn L O'Connell
A. Lohn
Jair Aguirre
AAML
17
3
0
25 Jun 2022
Exemplar Free Class Agnostic Counting
Exemplar Free Class Agnostic Counting
Viresh Ranjan
Minh Hoai
15
37
0
27 May 2022
Learning to Count Anything: Reference-less Class-agnostic Counting with
  Weak Supervision
Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision
Michael A. Hobley
V. Prisacariu
47
36
0
20 May 2022
Leveraging Synthetic Data in Object Detection on Unmanned Aerial
  Vehicles
Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles
Benjamin Kiefer
D. Ott
A. Zell
31
44
0
22 Dec 2021
HeterPS: Distributed Deep Learning With Reinforcement Learning Based
  Scheduling in Heterogeneous Environments
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments
Ji Liu
Zhihua Wu
Dianhai Yu
Yanjun Ma
Danlei Feng
Minxu Zhang
Xinxuan Wu
Xuefeng Yao
Dejing Dou
16
44
0
20 Nov 2021
Airplane Detection Based on Mask Region Convolution Neural Network
Airplane Detection Based on Mask Region Convolution Neural Network
W. Alshaibani
M. Helvaci
Ibraheem Shayea
H. Mohamad
31
4
0
29 Aug 2021
Physical Adversarial Attacks on an Aerial Imagery Object Detector
Physical Adversarial Attacks on an Aerial Imagery Object Detector
Andrew Du
Bo Chen
Tat-Jun Chin
Yee Wei Law
Michele Sasdelli
Ramesh Rajasegaran
Dillon Campbell
AAML
28
60
0
26 Aug 2021
Adapting Vehicle Detector to Target Domain by Adversarial Prediction
  Alignment
Adapting Vehicle Detector to Target Domain by Adversarial Prediction Alignment
Yohei Koga
H. Miyazaki
Ryosuke Shibasaki
22
1
0
06 Jul 2021
SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water
SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water
Leon Amadeus Varga
Benjamin Kiefer
Martin Messmer
A. Zell
29
110
0
05 May 2021
Oriented Bounding Boxes for Small and Freely Rotated Objects
Oriented Bounding Boxes for Small and Freely Rotated Objects
Mohsen Zand
Ali Etemad
Michael A. Greenspan
ObjD
28
54
0
24 Apr 2021
FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in
  High-Resolution Remote Sensing Imagery
FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery
Xian Sun
Peijin Wang
Zhiyuan Yan
F. Xu
Ruiping Wang
...
Tao Xu
M. Weinmann
Stefan Hinz
Cheng Wang
Kun Fu
ObjD
AI4TS
23
360
0
09 Mar 2021
Counting and Locating High-Density Objects Using Convolutional Neural
  Network
Counting and Locating High-Density Objects Using Convolutional Neural Network
Mauro dos Santos de Arruda
L. Osco
Plabiany Rodrigo Acosta
D. Gonçalves
J. M. Junior
...
E. Matsubara
Zhipeng Luo
Jonathan Li
J. Silva
W. Gonçalves
28
19
0
08 Feb 2021
Geography-Aware Self-Supervised Learning
Geography-Aware Self-Supervised Learning
Kumar Ayush
Burak Uzkent
Chenlin Meng
Kumar Tanmay
Marshall Burke
David B. Lobell
Stefano Ermon
SSL
37
227
0
19 Nov 2020
Artificial Intelligence Enabled Traffic Monitoring System
Artificial Intelligence Enabled Traffic Monitoring System
Vishal Mandal
Abdul Rashid Mussah
Peng Jin
Y. Adu-Gyamfi
25
50
0
02 Oct 2020
Distortion-Adaptive Grape Bunch Counting for Omnidirectional Images
Distortion-Adaptive Grape Bunch Counting for Omnidirectional Images
R. Akai
Yuzuko Utsumi
Y. Miwa
Masakazu Iwamura
K. Kise
18
4
0
28 Aug 2020
Counting from Sky: A Large-scale Dataset for Remote Sensing Object
  Counting and A Benchmark Method
Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark Method
Guangshuai Gao
Qingjie Liu
Yunhong Wang
13
53
0
28 Aug 2020
Accelerating Deep Learning Applications in Space
Accelerating Deep Learning Applications in Space
Martina Lofqvist
José Cano
34
19
0
21 Jul 2020
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews,
  Guidances and Million-AID
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AID
Yang Long
Guisong Xia
Shengyang Li
Wen Yang
M. Yang
Xiaoxiang Zhu
Liangpei Zhang
Deren Li
16
21
0
22 Jun 2020
Efficient Saliency Maps for Explainable AI
Efficient Saliency Maps for Explainable AI
T. Nathan Mundhenk
Barry Y. Chen
Gerald Friedland
XAI
FAtt
21
73
0
26 Nov 2019
Guided Attention Network for Object Detection and Counting on Drones
Guided Attention Network for Object Detection and Counting on Drones
Yuanqiang Cai
Dawei Du
Libo Zhang
Longyin Wen
Weiqiang Wang
Y. Wu
Siwei Lyu
19
58
0
25 Sep 2019
Bayesian Loss for Crowd Count Estimation with Point Supervision
Bayesian Loss for Crowd Count Estimation with Point Supervision
Zhiheng Ma
Xing Wei
Xiaopeng Hong
Yihong Gong
3DPC
34
481
0
10 Aug 2019
AI Enabling Technologies: A Survey
AI Enabling Technologies: A Survey
V. Gadepally
Justin A. Goodwin
J. Kepner
Albert Reuther
Hayley Reynolds
S. Samsi
Jonathan Su
David Martinez
27
24
0
08 May 2019
Improving Strong-Scaling of CNN Training by Exploiting Finer-Grained
  Parallelism
Improving Strong-Scaling of CNN Training by Exploiting Finer-Grained Parallelism
Nikoli Dryden
N. Maruyama
Tom Benson
Tim Moon
M. Snir
B. Van Essen
20
49
0
15 Mar 2019
Faster RER-CNN: application to the detection of vehicles in aerial
  images
Faster RER-CNN: application to the detection of vehicles in aerial images
Jean Ogier du Terrail
F. Jurie
ObjD
19
28
0
20 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
21
123
0
10 Sep 2018
Overhead Detection: Beyond 8-bits and RGB
Overhead Detection: Beyond 8-bits and RGB
E. Mace
Keith Manville
M. Barbu-McInnis
Michael Laielli
Matthew K. Klaric
Samuel Dooley
21
7
0
07 Aug 2018
Global Sum Pooling: A Generalization Trick for Object Counting with
  Small Datasets of Large Images
Global Sum Pooling: A Generalization Trick for Object Counting with Small Datasets of Large Images
Shubhra Aich
Ian Stavness
19
20
0
28 May 2018
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite
  Imagery
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery
A. V. Etten
ObjD
8
302
0
24 May 2018
Efficient Image Dataset Classification Difficulty Estimation for
  Predicting Deep-Learning Accuracy
Efficient Image Dataset Classification Difficulty Estimation for Predicting Deep-Learning Accuracy
F. Scheidegger
R. Istrate
G. Mariani
Luca Benini
C. Bekas
C. Malossi
VLM
29
44
0
26 Mar 2018
Improving Object Counting with Heatmap Regulation
Improving Object Counting with Heatmap Regulation
Shubhra Aich
Ian Stavness
17
33
0
14 Mar 2018
Spatiotemporal Modeling for Crowd Counting in Videos
Spatiotemporal Modeling for Crowd Counting in Videos
Feng Xiong
Xingjian Shi
Dit-Yan Yeung
25
184
0
25 Jul 2017
Drone-based Object Counting by Spatially Regularized Regional Proposal
  Network
Drone-based Object Counting by Spatially Regularized Regional Proposal Network
Meng-Ru Hsieh
Yen-Liang Lin
Winston H. Hsu
24
410
0
19 Jul 2017
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