ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1807.05511
  4. Cited By
Object Detection with Deep Learning: A Review

Object Detection with Deep Learning: A Review

15 July 2018
Zhong-Qiu Zhao
Peng Zheng
Shou-tao Xu
Xindong Wu
    ObjD
ArXivPDFHTML

Papers citing "Object Detection with Deep Learning: A Review"

21 / 121 papers shown
Title
Computer Stereo Vision for Autonomous Driving
Computer Stereo Vision for Autonomous Driving
Rui Fan
Li Wang
M. J. Bocus
Ioannis Pitas
3DV
19
33
0
06 Dec 2020
Bringing AI To Edge: From Deep Learning's Perspective
Bringing AI To Edge: From Deep Learning's Perspective
Di Liu
Hao Kong
Xiangzhong Luo
Weichen Liu
Ravi Subramaniam
23
115
0
25 Nov 2020
Atlas Fusion -- Modern Framework for Autonomous Agent Sensor Data Fusion
Atlas Fusion -- Modern Framework for Autonomous Agent Sensor Data Fusion
Adam Ligocki
Ales Jelinek
L. Zalud
11
5
0
22 Oct 2020
SCOP: Scientific Control for Reliable Neural Network Pruning
SCOP: Scientific Control for Reliable Neural Network Pruning
Yehui Tang
Yunhe Wang
Yixing Xu
Dacheng Tao
Chunjing Xu
Chao Xu
Chang Xu
AAML
37
165
0
21 Oct 2020
Analysis of three dimensional potential problems in non-homogeneous
  media with physics-informed deep collocation method using material transfer
  learning and sensitivity analysis
Analysis of three dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis
Hongwei Guo
X. Zhuang
Pengwan Chen
N. Alajlan
Timon Rabczuk
6
57
0
03 Oct 2020
Stochastic analysis of heterogeneous porous material with modified
  neural architecture search (NAS) based physics-informed neural networks using
  transfer learning
Stochastic analysis of heterogeneous porous material with modified neural architecture search (NAS) based physics-informed neural networks using transfer learning
Hongwei Guo
X. Zhuang
Timon Rabczuk
20
82
0
03 Oct 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
15
79
0
17 Sep 2020
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray
  Scattering Images
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images
Xinyi Huang
Suphanut Jamonnak
Ye Zhao
Boyu Wang
Minh Hoai
Kevin Yager
Wei-ping Xu
11
5
0
03 Sep 2020
A Self-Training Approach for Point-Supervised Object Detection and
  Counting in Crowds
A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds
Yi Wang
Junhui Hou
Xinyu Hou
Lap-Pui Chau
3DPC
14
88
0
25 Jul 2020
Deep Learning Meets SAR
Deep Learning Meets SAR
Xiaoxiang Zhu
S. Montazeri
Mohsin Ali
Yuansheng Hua
Yuanyuan Wang
Lichao Mou
Yilei Shi
Feng Xu
R. Bamler
17
213
0
17 Jun 2020
TensorFlow with user friendly Graphical Framework for object detection
  API
TensorFlow with user friendly Graphical Framework for object detection API
Heemoon Yoon
Sang-Hee Lee
Mira Park
10
10
0
11 Jun 2020
Deep Learning for Change Detection in Remote Sensing Images:
  Comprehensive Review and Meta-Analysis
Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis
Lazhar Khelifi
M. Mignotte
10
253
0
10 Jun 2020
Computer Vision Toolkit for Non-invasive Monitoring of Factory Floor
  Artifacts
Computer Vision Toolkit for Non-invasive Monitoring of Factory Floor Artifacts
Aditya M. Deshpande
Anil Kumar Telikicherla
Vinay Jakkali
David A. Wickelhaus
Manish Kumar
S. Anand
14
16
0
12 May 2020
Using Computer Vision to enhance Safety of Workforce in Manufacturing in
  a Post COVID World
Using Computer Vision to enhance Safety of Workforce in Manufacturing in a Post COVID World
Prateek Khandelwal
Anuj Khandelwal
Snigdha Agarwal
Deep Thomas
Naveen Xavier
Arun Raghuraman
11
63
0
11 May 2020
First return, then explore
First return, then explore
Adrien Ecoffet
Joost Huizinga
Joel Lehman
Kenneth O. Stanley
Jeff Clune
25
347
0
27 Apr 2020
Convolutional Neural Networks for Image-based Corn Kernel Detection and
  Counting
Convolutional Neural Networks for Image-based Corn Kernel Detection and Counting
S. Khaki
Hieu H. Pham
Ye Han
Andy Kuhl
W. Kent
Lizhi Wang
9
53
0
26 Mar 2020
Deep Semantic Segmentation of Natural and Medical Images: A Review
Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki
Kumar Abhishek
Joseph Paul Cohen
Julien Cohen-Adad
Ghassan Hamarneh
SSeg
VLM
28
665
0
16 Oct 2019
Probabilistic framework for solving Visual Dialog
Probabilistic framework for solving Visual Dialog
Badri N. Patro
Anupriy
Vinay P. Namboodiri
BDL
22
13
0
11 Sep 2019
Recent Advances in Deep Learning for Object Detection
Recent Advances in Deep Learning for Object Detection
Xiongwei Wu
Doyen Sahoo
S. Hoi
VLM
ObjD
30
789
0
10 Aug 2019
Universal Adversarial Audio Perturbations
Universal Adversarial Audio Perturbations
Sajjad Abdoli
L. G. Hafemann
Jérôme Rony
Ismail Ben Ayed
P. Cardinal
Alessandro Lameiras Koerich
AAML
15
50
0
08 Aug 2019
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
243
7,597
0
03 Jul 2012
Previous
123