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. 1801.02225
  4. Cited By
Foreground Segmentation Using a Triplet Convolutional Neural Network for
  Multiscale Feature Encoding

Foreground Segmentation Using a Triplet Convolutional Neural Network for Multiscale Feature Encoding

7 January 2018
Long Ang Lim
H. Keles
ArXivPDFHTML

Papers citing "Foreground Segmentation Using a Triplet Convolutional Neural Network for Multiscale Feature Encoding"

32 / 32 papers shown
Title
LangGas: Introducing Language in Selective Zero-Shot Background Subtraction for Semi-Transparent Gas Leak Detection with a New Dataset
LangGas: Introducing Language in Selective Zero-Shot Background Subtraction for Semi-Transparent Gas Leak Detection with a New Dataset
Wenqi Guo
Yiyang Du
Shan Du
75
1
0
04 Mar 2025
Reducing False Alarms in Video Surveillance by Deep Feature Statistical
  Modeling
Reducing False Alarms in Video Surveillance by Deep Feature Statistical Modeling
Xavier Bou
Aitor Artola
T. Ehret
Gabriele Facciolo
Jean-Michel Morel
R. G. V. Gioi
14
0
0
09 Jul 2023
ZBS: Zero-shot Background Subtraction via Instance-level Background
  Modeling and Foreground Selection
ZBS: Zero-shot Background Subtraction via Instance-level Background Modeling and Foreground Selection
Yongqi An
Xu Zhao
Tao Yu
Haiyun Guo
Chaoyang Zhao
Ming Tang
Jinqiao Wang
40
20
0
26 Mar 2023
Weakly Supervised Realtime Dynamic Background Subtraction
Weakly Supervised Realtime Dynamic Background Subtraction
Fateme Bahri
Nilanjan Ray
31
2
0
06 Mar 2023
Video Segmentation Learning Using Cascade Residual Convolutional Neural
  Network
Video Segmentation Learning Using Cascade Residual Convolutional Neural Network
D. F. S. Santos
R. G. Pires
Danilo Colombo
João Paulo Papa
VOS
21
3
0
20 Dec 2022
Scene Change Detection Using Multiscale Cascade Residual Convolutional
  Neural Networks
Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks
D. F. S. Santos
R. G. Pires
Danilo Colombo
João Paulo Papa
24
3
0
20 Dec 2022
Dynamic Background Subtraction by Generative Neural Networks
Dynamic Background Subtraction by Generative Neural Networks
Fateme Bahri
Nilanjan Ray
22
6
0
10 Feb 2022
Autoencoder-based background reconstruction and foreground segmentation
  with background noise estimation
Autoencoder-based background reconstruction and foreground segmentation with background noise estimation
Bruno Sauvalle
A. de La Fortelle
21
12
0
15 Dec 2021
Saliency detection with moving camera via background model completion
Saliency detection with moving camera via background model completion
Yupei Zhang
Kwok-Leung Chan
21
2
0
30 Oct 2021
CDN-MEDAL: Two-stage Density and Difference Approximation Framework for
  Motion Analysis
CDN-MEDAL: Two-stage Density and Difference Approximation Framework for Motion Analysis
Synh Viet-Uyen Ha
C. T. Nguyen
H. Phan
Nhat Minh Chung
P. Ha
27
0
0
07 Jun 2021
Spatio-temporal Data Augmentation for Visual Surveillance
Spatio-temporal Data Augmentation for Visual Surveillance
Jae-Yeul Kim
J. Ha
39
5
0
25 Jan 2021
BSUV-Net 2.0: Spatio-Temporal Data Augmentations for Video-Agnostic
  Supervised Background Subtraction
BSUV-Net 2.0: Spatio-Temporal Data Augmentations for Video-Agnostic Supervised Background Subtraction
M. Tezcan
Prakash Ishwar
Janusz Konrad
21
77
0
23 Jan 2021
AmphibianDetector: adaptive computation for moving objects detection
AmphibianDetector: adaptive computation for moving objects detection
D. Svitov
S. Alyamkin
ObjD
18
0
0
15 Nov 2020
Using a Supervised Method without supervision for foreground
  segmentation
Using a Supervised Method without supervision for foreground segmentation
Levi Kassel
M. Werman
18
1
0
26 Oct 2020
MetricUNet: Synergistic Image- and Voxel-Level Learning for Precise CT
  Prostate Segmentation via Online Sampling
MetricUNet: Synergistic Image- and Voxel-Level Learning for Precise CT Prostate Segmentation via Online Sampling
Kelei He
C. Lian
Ehsan Adeli
Jing Huo
Yang Gao
Bing-Bin Zhang
Junfeng Zhang
Dinggang Shen
24
0
0
15 May 2020
G-LBM:Generative Low-dimensional Background Model Estimation from Video
  Sequences
G-LBM:Generative Low-dimensional Background Model Estimation from Video Sequences
B. Rezaei
Amirreza Farnoosh
Sarah Ostadabbas
37
10
0
16 Mar 2020
Moving Objects Detection with a Moving Camera: A Comprehensive Review
Moving Objects Detection with a Moving Camera: A Comprehensive Review
Marie-Neige Chapel
T. Bouwmans
29
93
0
15 Jan 2020
3DFR: A Swift 3D Feature Reductionist Framework for Scene Independent
  Change Detection
3DFR: A Swift 3D Feature Reductionist Framework for Scene Independent Change Detection
Murari Mandal
Vansh Dhar
Abhishek Mishra
Santosh Kumar Vipparthi
VGen
3DPC
14
26
0
26 Dec 2019
To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene
To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene
Zhenfeng Zhu
Yingying Meng
Deqiang Kong
Xingxing Zhang
Yandong Guo
Yao-Min Zhao
20
14
0
12 Dec 2019
Illumination-Based Data Augmentation for Robust Background Subtraction
Illumination-Based Data Augmentation for Robust Background Subtraction
Dimitrios Sakkos
Hubert P. H. Shum
Edmond S. L. Ho
14
15
0
18 Oct 2019
An Integrated Image Filter for Enhancing Change Detection Results
An Integrated Image Filter for Enhancing Change Detection Results
Dawei Li
Siyuan Yan
Xin Cai
Yan Cao
Sifan Wang
14
3
0
02 Jul 2019
Background Subtraction using Adaptive Singular Value Decomposition
Background Subtraction using Adaptive Singular Value Decomposition
Günther Reitberger
T. Sauer
32
8
0
28 Jun 2019
BDNet: Bengali Handwritten Numeral Digit Recognition based on Densely
  connected Convolutional Neural Networks
BDNet: Bengali Handwritten Numeral Digit Recognition based on Densely connected Convolutional Neural Networks
Abu Sufian
Anirudha Ghosh
Avijit Naskar
F. Sultana
Jaya Sil
M M Hafizur Rahman
16
37
0
10 Jun 2019
DeepPBM: Deep Probabilistic Background Model Estimation from Video
  Sequences
DeepPBM: Deep Probabilistic Background Model Estimation from Video Sequences
Amirreza Farnoosh
B. Rezaei
Sarah Ostadabbas
BDL
31
15
0
03 Feb 2019
Background Subtraction with Real-time Semantic Segmentation
Background Subtraction with Real-time Semantic Segmentation
Dongdong Zeng
Xiang Chen
Ming Zhu
Michael Goesele
Arjan Kuijper
VOS
44
44
0
25 Nov 2018
Deep Neural Network Concepts for Background Subtraction: A Systematic
  Review and Comparative Evaluation
Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation
T. Bouwmans
S. Javed
M. Sultana
Soon Ki Jung
30
318
0
13 Nov 2018
Learning to Measure Change: Fully Convolutional Siamese Metric Networks
  for Scene Change Detection
Learning to Measure Change: Fully Convolutional Siamese Metric Networks for Scene Change Detection
Enqiang Guo
Xin-sha Fu
Jiawei Zhu
Min Deng
Yu Liu
Qing Zhu
Haifeng Li
SSL
23
87
0
22 Oct 2018
CVABS: Moving Object Segmentation with Common Vector Approach for Videos
CVABS: Moving Object Segmentation with Common Vector Approach for Videos
Ş. Işık
Kemal Özkan
Ö. N. Gerek
27
10
0
19 Oct 2018
Assessing Performance of Aerobic Routines using Background Subtraction
  and Intersected Image Region
Assessing Performance of Aerobic Routines using Background Subtraction and Intersected Image Region
F. John
I. Hipiny
Hamimah Ujir
M. Sunar
3DH
13
7
0
03 Oct 2018
Learning Multi-scale Features for Foreground Segmentation
Learning Multi-scale Features for Foreground Segmentation
Long Ang Lim
H. Keles
SSeg
30
178
0
04 Aug 2018
Combining Background Subtraction Algorithms with Convolutional Neural
  Network
Combining Background Subtraction Algorithms with Convolutional Neural Network
Dongdong Zeng
Ming Zhu
Arjan Kuijper
14
32
0
05 Jul 2018
Unsupervised Deep Context Prediction for Background Foreground
  Separation
Unsupervised Deep Context Prediction for Background Foreground Separation
M. Sultana
Arif Mahmood
S. Javed
Soon Ki Jung
29
62
0
21 May 2018
1