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Multi-Object Tracking with Hallucinated and Unlabeled Videos

Multi-Object Tracking with Hallucinated and Unlabeled Videos

19 August 2021
Daniel McKee
Bing Shuai
Andrew G. Berneshawi
Manchen Wang
Davide Modolo
Svetlana Lazebnik
Joseph Tighe
    VOT
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Papers citing "Multi-Object Tracking with Hallucinated and Unlabeled Videos"

39 / 39 papers shown
Title
SiamMOT: Siamese Multi-Object Tracking
SiamMOT: Siamese Multi-Object Tracking
Bing Shuai
Andrew G. Berneshawi
Xinyu Li
Davide Modolo
Joseph Tighe
VOT
43
138
0
25 May 2021
TrackFormer: Multi-Object Tracking with Transformers
TrackFormer: Multi-Object Tracking with Transformers
Tim Meinhardt
A. Kirillov
Laura Leal-Taixe
Christoph Feichtenhofer
VOT
248
755
0
07 Jan 2021
TransTrack: Multiple Object Tracking with Transformer
TransTrack: Multiple Object Tracking with Transformer
Pei Sun
Jinkun Cao
Yi Jiang
Rufeng Zhang
Enze Xie
Zehuan Yuan
Changhu Wang
Ping Luo
ViT
VOT
299
572
0
31 Dec 2020
Improving Object Detection with Selective Self-supervised Self-training
Improving Object Detection with Selective Self-supervised Self-training
Yandong Li
Di Huang
Danfeng Qin
Liqiang Wang
Boqing Gong
48
65
0
17 Jul 2020
Rethinking Pre-training and Self-training
Rethinking Pre-training and Self-training
Barret Zoph
Golnaz Ghiasi
Nayeon Lee
Huayu Chen
Hanxiao Liu
E. D. Cubuk
Quoc V. Le
SSeg
68
647
0
11 Jun 2020
TAO: A Large-Scale Benchmark for Tracking Any Object
TAO: A Large-Scale Benchmark for Tracking Any Object
Achal Dave
Tarasha Khurana
P. Tokmakov
Cordelia Schmid
Deva Ramanan
52
176
0
20 May 2020
Improving Semantic Segmentation via Self-Training
Improving Semantic Segmentation via Self-Training
Yi Zhu
Zhongyue Zhang
Chongruo Wu
Zhi-Li Zhang
Tong He
Hang Zhang
R. Manmatha
Mu Li
Alex Smola
VLM
SSL
55
56
0
30 Apr 2020
Tracking Objects as Points
Tracking Objects as Points
Xingyi Zhou
V. Koltun
Philipp Krahenbuhl
VOT
3DPC
53
1,053
0
02 Apr 2020
Learning a Neural Solver for Multiple Object Tracking
Learning a Neural Solver for Multiple Object Tracking
Guillem Brasó
Laura Leal-Taixé
VOT
57
395
0
16 Dec 2019
Learning Multi-Object Tracking and Segmentation from Automatic
  Annotations
Learning Multi-Object Tracking and Segmentation from Automatic Annotations
Lorenzo Porzi
Markus Hofinger
Idoia Ruiz
J. Serrat
Samuel Rota Buló
Peter Kontschieder
VOT
66
70
0
04 Dec 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
219
2,380
0
11 Nov 2019
Revisiting Self-Training for Neural Sequence Generation
Revisiting Self-Training for Neural Sequence Generation
Junxian He
Jiatao Gu
Jiajun Shen
MarcÁurelio Ranzato
SSL
LRM
262
272
0
30 Sep 2019
Self-Training for End-to-End Speech Recognition
Self-Training for End-to-End Speech Recognition
Jacob Kahn
Ann Lee
Awni Y. Hannun
SSL
49
232
0
19 Sep 2019
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
318
793
0
26 Aug 2019
A Short Note on the Kinetics-700 Human Action Dataset
A Short Note on the Kinetics-700 Human Action Dataset
João Carreira
Eric Noland
Chloe Hillier
Andrew Zisserman
50
446
0
15 Jul 2019
How To Train Your Deep Multi-Object Tracker
How To Train Your Deep Multi-Object Tracker
Yihong Xu
Aljosa Osep
Yutong Ban
Radu Horaud
Laura Leal-Taixe
Xavier Alameda-Pineda
VOT
72
191
0
15 Jun 2019
Spatial-Temporal Relation Networks for Multi-Object Tracking
Spatial-Temporal Relation Networks for Multi-Object Tracking
Jiarui Xu
Yue Cao
Zheng Zhang
Han Hu
VOT
103
237
0
25 Apr 2019
Automatic adaptation of object detectors to new domains using
  self-training
Automatic adaptation of object detectors to new domains using self-training
Aruni RoyChowdhury
Prithvijit Chakrabarty
Ashish Singh
SouYoung Jin
Huaizu Jiang
Liangliang Cao
Erik Learned-Miller
VLM
ObjD
54
162
0
15 Apr 2019
Tracking without bells and whistles
Tracking without bells and whistles
Philipp Bergmann
Tim Meinhardt
Laura Leal-Taixe
VOT
95
905
0
13 Mar 2019
Large-Scale Object Mining for Object Discovery from Unlabeled Video
Large-Scale Object Mining for Object Discovery from Unlabeled Video
Aljosa Osep
P. Voigtlaender
Jonathon Luiten
Stefan Breuers
Bastian Leibe
92
24
0
28 Feb 2019
Learning 3D Human Dynamics from Video
Learning 3D Human Dynamics from Video
Yang Liu
Jason Y. Zhang
Lei Lin
Jitendra Malik
3DH
46
515
0
04 Dec 2018
Unsupervised Hard Example Mining from Videos for Improved Object
  Detection
Unsupervised Hard Example Mining from Videos for Improved Object Detection
SouYoung Jin
Aruni RoyChowdhury
Huaizu Jiang
Ashish Singh
Aditya Prasad
Deep Chakraborty
Erik Learned-Miller
ObjD
84
63
0
13 Aug 2018
Flow-Grounded Spatial-Temporal Video Prediction from Still Images
Flow-Grounded Spatial-Temporal Video Prediction from Still Images
Yijun Li
Chen Fang
Jimei Yang
Zhaowen Wang
Xin Lu
Ming-Hsuan Yang
3DH
42
138
0
25 Jul 2018
CrowdHuman: A Benchmark for Detecting Human in a Crowd
CrowdHuman: A Benchmark for Detecting Human in a Crowd
Shuai Shao
Zijian Zhao
Boxun Li
Tete Xiao
Gang Yu
Xiangyu Zhang
Jian Sun
249
681
0
30 Apr 2018
Deep Visual Domain Adaptation: A Survey
Deep Visual Domain Adaptation: A Survey
Mei Wang
Weihong Deng
OOD
47
2,002
0
10 Feb 2018
Im2Flow: Motion Hallucination from Static Images for Action Recognition
Im2Flow: Motion Hallucination from Static Images for Action Recognition
Ruohan Gao
Bo Xiong
Kristen Grauman
47
92
0
12 Dec 2017
Deep Layer Aggregation
Deep Layer Aggregation
Feng Yu
Dequan Wang
Evan Shelhamer
Trevor Darrell
AI4CE
FAtt
77
1,317
0
20 Jul 2017
The Kinetics Human Action Video Dataset
The Kinetics Human Action Video Dataset
W. Kay
João Carreira
Karen Simonyan
Brian Zhang
Chloe Hillier
...
Tim Green
T. Back
Apostol Natsev
Mustafa Suleyman
Andrew Zisserman
195
3,771
0
19 May 2017
Simple Online and Realtime Tracking with a Deep Association Metric
Simple Online and Realtime Tracking with a Deep Association Metric
N. Wojke
Alex Bewley
Dietrich Paulus
VOT
383
3,492
0
21 Mar 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
298
27,018
0
20 Mar 2017
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Eddy Ilg
N. Mayer
Tonmoy Saikia
Margret Keuper
Alexey Dosovitskiy
Thomas Brox
3DPC
184
3,072
0
06 Dec 2016
Learning to Track at 100 FPS with Deep Regression Networks
Learning to Track at 100 FPS with Deep Regression Networks
David Held
Sebastian Thrun
Silvio Savarese
OffRL
61
1,190
0
06 Apr 2016
MOT16: A Benchmark for Multi-Object Tracking
MOT16: A Benchmark for Multi-Object Tracking
Anton Milan
Laura Leal-Taixe
Ian Reid
Stefan Roth
Konrad Schindler
VOT
124
1,788
0
02 Mar 2016
Simple Online and Realtime Tracking
Simple Online and Realtime Tracking
Alex Bewley
Zongyuan Ge
Lionel Ott
F. Ramos
B. Upcroft
VOT
75
3,063
0
02 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 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
408
61,900
0
04 Jun 2015
Watch and Learn: Semi-Supervised Learning of Object Detectors from
  Videos
Watch and Learn: Semi-Supervised Learning of Object Detectors from Videos
Ishan Misra
Abhinav Shrivastava
M. Hebert
56
123
0
21 May 2015
MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking
MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking
Laura Leal-Taixé
Anton Milan
Ian Reid
Stefan Roth
Konrad Schindler
VOT
50
813
0
08 Apr 2015
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
244
43,290
0
01 May 2014
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