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Temporal Coherence for Active Learning in Videos

Temporal Coherence for Active Learning in Videos

30 August 2019
Javad Zolfaghari Bengar
Abel Gonzalez-Garcia
Gabriel Villalonga
Bogdan Raducanu
H. H. Aghdam
M. Mozerov
Antonio M. López
Joost van de Weijer
ArXiv (abs)PDFHTML

Papers citing "Temporal Coherence for Active Learning in Videos"

28 / 28 papers shown
Title
Video Region Annotation with Sparse Bounding Boxes
Video Region Annotation with Sparse Bounding Boxes
Yuzheng Xu
Yang Wu
Nur Sabrina binti Zuraimi
S. Nobuhara
Ko Nishino
VGen
130
2
0
17 Aug 2020
Learning Loss for Active Learning
Learning Loss for Active Learning
Donggeun Yoo
In So Kweon
UQCV
85
662
0
09 May 2019
Active Multi-Kernel Domain Adaptation for Hyperspectral Image
  Classification
Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification
Cheng Deng
Xianglong Liu
Chao Li
Dacheng Tao
37
139
0
10 Apr 2019
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles
Kashyap Chitta
J. Álvarez
Adam Lesnikowski
BDLUQCV
114
35
0
08 Nov 2018
Active Learning for Deep Object Detection
Active Learning for Deep Object Detection
C. Brust
Christoph Käding
Joachim Denzler
VLMObjD
50
118
0
26 Sep 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
106
63
0
13 Aug 2018
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Feng Yu
Haofeng Chen
Xin Wang
Wenqi Xian
Yingying Chen
Fangchen Liu
Vashisht Madhavan
Trevor Darrell
VLM
346
2,155
0
12 May 2018
Mobile Video Object Detection with Temporally-Aware Feature Maps
Mobile Video Object Detection with Temporally-Aware Feature Maps
Mason Liu
Menglong Zhu
ObjD
58
196
0
17 Nov 2017
Active Learning for Visual Question Answering: An Empirical Study
Active Learning for Visual Question Answering: An Empirical Study
Xiaoyu Lin
Devi Parikh
85
31
0
06 Nov 2017
Playing for Benchmarks
Playing for Benchmarks
Stephan R. Richter
Zeeshan Hayder
V. Koltun
80
470
0
21 Sep 2017
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun
Xiaodong Yang
Ming-Yuan Liu
Jan Kautz
3DPC
261
2,448
0
07 Sep 2017
A Variance Maximization Criterion for Active Learning
A Variance Maximization Criterion for Active Learning
Yazhou Yang
Marco Loog
38
49
0
23 Jun 2017
Flow-Guided Feature Aggregation for Video Object Detection
Flow-Guided Feature Aggregation for Video Object Detection
Xizhou Zhu
Yujie Wang
Jifeng Dai
Lu Yuan
Yichen Wei
107
621
0
29 Mar 2017
Deep Bayesian Active Learning with Image Data
Deep Bayesian Active Learning with Image Data
Y. Gal
Riashat Islam
Zoubin Ghahramani
BDLUQCV
73
1,739
0
08 Mar 2017
Object Detection in Videos with Tubelet Proposal Networks
Object Detection in Videos with Tubelet Proposal Networks
Kai Kang
Hongsheng Li
Tong Xiao
Wanli Ouyang
Junjie Yan
Xihui Liu
Xiaogang Wang
69
194
0
21 Feb 2017
Speed/accuracy trade-offs for modern convolutional object detectors
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang
V. Rathod
Chen Sun
Menglong Zhu
Anoop Korattikara Balan
...
Ian S. Fischer
Z. Wojna
Yang Song
S. Guadarrama
Kevin Patrick Murphy
3DH3DV
102
2,572
0
30 Nov 2016
A Benchmark and Comparison of Active Learning for Logistic Regression
A Benchmark and Comparison of Active Learning for Logistic Regression
Yazhou Yang
Marco Loog
83
151
0
25 Nov 2016
Deep Feature Flow for Video Recognition
Deep Feature Flow for Video Recognition
Xizhou Zhu
Yuwen Xiong
Jifeng Dai
Lu Yuan
Yichen Wei
114
599
0
23 Nov 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
77
3,883
0
30 Jun 2016
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection
  from Videos
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos
Kai Kang
Hongsheng Li
Junjie Yan
Xingyu Zeng
Binh Yang
...
Cong Zhang
Zhe Wang
Ruohui Wang
Xiaogang Wang
Wanli Ouyang
ObjD
85
478
0
09 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,644
0
06 Apr 2016
Seq-NMS for Video Object Detection
Seq-NMS for Video Object Detection
Wei Han
Pooya Khorrami
T. Paine
Prajit Ramachandran
Mohammad Babaeizadeh
Humphrey Shi
Jianan Li
Shuicheng Yan
Thomas S. Huang
43
301
0
26 Feb 2016
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjDBDL
244
29,871
0
08 Dec 2015
Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets
  for Future Tasks
Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks
E. Gavves
Thomas Mensink
Tatiana Tommasi
Cees G. M. Snoek
Tinne Tuytelaars
VLM
51
69
0
06 Oct 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
AIMatObjD
525
62,377
0
04 Jun 2015
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
VLMObjD
1.7K
39,595
0
01 Sep 2014
LSDA: Large Scale Detection Through Adaptation
LSDA: Large Scale Detection Through Adaptation
Judy Hoffman
S. Guadarrama
Eric Tzeng
Ronghang Hu
Jeff Donahue
Ross B. Girshick
Trevor Darrell
Kate Saenko
ObjD
100
334
0
18 Jul 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
424
43,814
0
01 May 2014
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