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. 1708.00199
  4. Cited By
Switching Convolutional Neural Network for Crowd Counting

Switching Convolutional Neural Network for Crowd Counting

1 August 2017
Deepak Babu Sam
Shiv Surya
R. Venkatesh Babu
ArXivPDFHTML

Papers citing "Switching Convolutional Neural Network for Crowd Counting"

10 / 10 papers shown
Title
A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches
A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches
Luca Ciampi
Ali Azmoudeh
Elif Ecem Akbaba
Erdi Sarıtaş
Ziya Ata Yazıcı
H. K. Ekenel
Giuseppe Amato
Fabrizio Falchi
147
0
0
31 Jan 2025
SOFA-Net: Second-Order and First-order Attention Network for Crowd
  Counting
SOFA-Net: Second-Order and First-order Attention Network for Crowd Counting
Haoran Duan
Shidong Wang
Yu Guan
EgoV
75
14
0
09 Aug 2020
Crowd Counting via Hierarchical Scale Recalibration Network
Crowd Counting via Hierarchical Scale Recalibration Network
Zhikang Zou
Yifan Liu
Shuangjie Xu
Wei Wei
S. Wen
Pan Zhou
61
22
0
07 Mar 2020
MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation
MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation
Abhay Kumar
Nishant Jain
Suraj Tripathi
Chirag Singh
K. Krishna
33
3
0
23 Aug 2019
CrowdNet: A Deep Convolutional Network for Dense Crowd Counting
CrowdNet: A Deep Convolutional Network for Dense Crowd Counting
Lokesh Boominathan
S. Kruthiventi
R. Venkatesh Babu
47
550
0
22 Aug 2016
SwiDeN : Convolutional Neural Networks For Depiction Invariant Object
  Recognition
SwiDeN : Convolutional Neural Networks For Depiction Invariant Object Recognition
Ravi Kiran Sarvadevabhatla
Shiv Surya
S. Kruthiventi
R. Venkatesh Babu
ObjD
27
7
0
29 Jul 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.5K
192,638
0
10 Dec 2015
End-to-end people detection in crowded scenes
End-to-end people detection in crowded scenes
Russell Stewart
Mykhaylo Andriluka
62
541
0
16 Jun 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
351
43,511
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.0K
99,991
0
04 Sep 2014
1