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. 2405.10439
  4. Cited By
Beyond Traditional Single Object Tracking: A Survey

Beyond Traditional Single Object Tracking: A Survey

16 May 2024
Omar Abdelaziz
Mohamed Shehata
Mohamed Mohamed
ArXivPDFHTML

Papers citing "Beyond Traditional Single Object Tracking: A Survey"

39 / 39 papers shown
Title
DiffusionDet: Diffusion Model for Object Detection
DiffusionDet: Diffusion Model for Object Detection
Shoufa Chen
Pei Sun
Yibing Song
Ping Luo
101
460
0
17 Nov 2022
Joint Feature Learning and Relation Modeling for Tracking: A One-Stream
  Framework
Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework
Botao Ye
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
ViT
80
462
0
22 Mar 2022
Robust Visual Tracking by Segmentation
Robust Visual Tracking by Segmentation
M. Paul
Martin Danelljan
Christoph Mayer
Luc Van Gool
VOS
48
65
0
21 Mar 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
223
30,089
0
01 Mar 2022
MaskGIT: Masked Generative Image Transformer
MaskGIT: Masked Generative Image Transformer
Huiwen Chang
Han Zhang
Lu Jiang
Ce Liu
William T. Freeman
ViT
110
670
0
08 Feb 2022
Visual Object Tracking with Discriminative Filters and Siamese Networks:
  A Survey and Outlook
Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook
S. Javed
Martin Danelljan
Fahad Shahbaz Khan
Muhammad Haris Khan
Michael Felsberg
Jirí Matas
83
130
0
06 Dec 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
427
7,705
0
11 Nov 2021
Cascaded Diffusion Models for High Fidelity Image Generation
Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho
Chitwan Saharia
William Chan
David J. Fleet
Mohammad Norouzi
Tim Salimans
136
1,213
0
30 May 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
178
7,765
0
11 May 2021
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
208
7,294
0
06 Oct 2020
LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
Heng Fan
Hexin Bai
Liting Lin
Fan Yang
Peng Chu
...
Juehuan Liu
Yong-mei Xu
Chunyuan Liao
Lin Yuan
Haibin Ling
VOT
74
215
0
08 Sep 2020
Diverse Image Generation via Self-Conditioned GANs
Diverse Image Generation via Self-Conditioned GANs
Steven Liu
Tongzhou Wang
David Bau
Jun-Yan Zhu
Antonio Torralba
SyDa
69
107
0
18 Jun 2020
MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous
  Driving Using Multiple Views
MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views
Ke Chen
Ryan Oldja
Nikolai Smolyanskiy
Stan Birchfield
A. Popov
David Wehr
I. Eden
Joachim Pehserl
3DPC
50
35
0
09 Jun 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
321
18,686
0
13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
161
12,050
0
13 Nov 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
215
8,415
0
19 Jun 2019
Learning Discriminative Model Prediction for Tracking
Learning Discriminative Model Prediction for Tracking
Goutam Bhat
Martin Danelljan
Luc Van Gool
Radu Timofte
123
1,036
0
15 Apr 2019
Unsupervised Deep Tracking
Unsupervised Deep Tracking
Ning Wang
Yibing Song
Chao Ma
Wen-gang Zhou
Wen Liu
Houqiang Li
87
332
0
03 Apr 2019
Deep High-Resolution Representation Learning for Human Pose Estimation
Deep High-Resolution Representation Learning for Human Pose Estimation
Ke Sun
Bin Xiao
Dong Liu
Jingdong Wang
3DV
120
4,042
0
25 Feb 2019
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in
  the Wild
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
Lianghua Huang
Xin Zhao
Kaiqi Huang
81
1,340
0
29 Oct 2018
LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking
LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking
Heng Fan
Liting Lin
Fan Yang
Peng Chu
Ge Deng
Sijia Yu
Hexin Bai
Yong-mei Xu
Chunyuan Liao
Haibin Ling
VOT
154
1,163
0
20 Sep 2018
Tracking Emerges by Colorizing Videos
Tracking Emerges by Colorizing Videos
Carl Vondrick
Abhinav Shrivastava
Alireza Fathi
S. Guadarrama
Kevin Patrick Murphy
73
377
0
25 Jun 2018
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in
  the Wild
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild
Matthias Muller
Adel Bibi
Silvio Giancola
Salman Al-Subaihi
Guohao Li
304
799
0
28 Mar 2018
PoseTrack: A Benchmark for Human Pose Estimation and Tracking
PoseTrack: A Benchmark for Human Pose Estimation and Tracking
Mykhaylo Andriluka
Umar Iqbal
Eldar Insafutdinov
L. Pishchulin
Anton Milan
Juergen Gall
Bernt Schiele
90
456
0
27 Oct 2017
Perceptual Generative Adversarial Networks for Small Object Detection
Perceptual Generative Adversarial Networks for Small Object Detection
Jianan Li
Xiaodan Liang
Yunchao Wei
Tingfa Xu
Jiashi Feng
Shuicheng Yan
ObjD
50
720
0
16 Jun 2017
VAE with a VampPrior
VAE with a VampPrior
Jakub M. Tomczak
Max Welling
GAN
BDL
66
632
0
19 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
803
11,866
0
09 Mar 2017
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set
  for Object Detection in Video
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video
Esteban Real
Jonathon Shlens
S. Mazzocchi
Xin Pan
Vincent Vanhoucke
VOS
ObjD
91
534
0
02 Feb 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
573
28,964
0
09 Sep 2016
Fully-Convolutional Siamese Networks for Object Tracking
Fully-Convolutional Siamese Networks for Object Tracking
Luca Bertinetto
Jack Valmadre
João F. Henriques
Andrea Vedaldi
Philip Torr
VOT
73
3,872
0
30 Jun 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
282
4,391
0
29 Jun 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
524
7,977
0
13 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
461
62,122
0
04 Jun 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDa
DiffM
252
6,887
0
12 Mar 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
397
43,589
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
1.3K
100,213
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.4K
39,472
0
01 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
367
43,524
0
01 May 2014
High-Speed Tracking with Kernelized Correlation Filters
High-Speed Tracking with Kernelized Correlation Filters
João F. Henriques
Rui Caseiro
P. Martins
Jorge Batista
82
5,127
0
30 Apr 2014
1