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Instance Embedding Transfer to Unsupervised Video Object Segmentation

Instance Embedding Transfer to Unsupervised Video Object Segmentation

3 January 2018
Siyang Li
Bryan Seybold
A. Vorobyov
Alireza Fathi
Qin Huang
C.-C. Jay Kuo
    VOS
ArXivPDFHTML

Papers citing "Instance Embedding Transfer to Unsupervised Video Object Segmentation"

25 / 25 papers shown
Title
Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation
Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation
Yunzhi Zhuge
Hongyu Gu
Lu Zhang
Jinqing Qi
Huchuan Lu
VOS
87
3
0
14 Jan 2025
SegFlow: Joint Learning for Video Object Segmentation and Optical Flow
SegFlow: Joint Learning for Video Object Segmentation and Optical Flow
Jingchun Cheng
Yi-Hsuan Tsai
Shengjin Wang
Ming-Hsuan Yang
VOS
41
415
0
20 Sep 2017
Pixel-Level Matching for Video Object Segmentation using Convolutional
  Neural Networks
Pixel-Level Matching for Video Object Segmentation using Convolutional Neural Networks
Jae Shin Yoon
François Rameau
Junsik Kim
Seokju Lee
Seunghak Shin
In So Kweon
VOS
45
158
0
17 Aug 2017
Semantic Instance Segmentation with a Discriminative Loss Function
Semantic Instance Segmentation with a Discriminative Loss Function
Bert De Brabandere
D. Neven
Luc Van Gool
SSeg
122
443
0
08 Aug 2017
Semantic Segmentation with Reverse Attention
Semantic Segmentation with Reverse Attention
Qin Huang
Chunyang Xia
Chi-Hao Wu
Siyang Li
Yeon-Chang Wang
Yuhang Song
C.-C. Jay Kuo
SSeg
115
66
0
20 Jul 2017
Online Adaptation of Convolutional Neural Networks for Video Object
  Segmentation
Online Adaptation of Convolutional Neural Networks for Video Object Segmentation
P. Voigtlaender
Bastian Leibe
VOS
89
394
0
28 Jun 2017
SfM-Net: Learning of Structure and Motion from Video
SfM-Net: Learning of Structure and Motion from Video
Sudheendra Vijayanarasimhan
Susanna Ricco
Cordelia Schmid
Rahul Sukthankar
Katerina Fragkiadaki
MDE
56
440
0
25 Apr 2017
Learning Video Object Segmentation with Visual Memory
Learning Video Object Segmentation with Visual Memory
P. Tokmakov
Alahari Karteek
Cordelia Schmid
VOS
36
325
0
19 Apr 2017
Semantic Instance Segmentation via Deep Metric Learning
Semantic Instance Segmentation via Deep Metric Learning
Alireza Fathi
Z. Wojna
V. Rathod
Peng Wang
Hyun Oh Song
S. Guadarrama
Kevin Patrick Murphy
SSeg
38
203
0
30 Mar 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
227
27,018
0
20 Mar 2017
FusionSeg: Learning to combine motion and appearance for fully automatic
  segmention of generic objects in videos
FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos
Enis Berk Çoban
Bo Xiong
Michael I. Mandel
VOS
75
381
0
19 Jan 2017
Learning Motion Patterns in Videos
Learning Motion Patterns in Videos
P. Tokmakov
Alahari Karteek
Cordelia Schmid
VOS
64
266
0
21 Dec 2016
Video Propagation Networks
Video Propagation Networks
Varun Jampani
Raghudeep Gadde
Peter V. Gehler
DiffM
36
230
0
16 Dec 2016
Learning Video Object Segmentation from Static Images
Learning Video Object Segmentation from Static Images
Anna Khoreva
Federico Perazzi
Rodrigo Benenson
Bernt Schiele
A. Sorkine-Hornung
VOS
43
585
0
08 Dec 2016
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
146
3,072
0
06 Dec 2016
Associative Embedding: End-to-End Learning for Joint Detection and
  Grouping
Associative Embedding: End-to-End Learning for Joint Detection and Grouping
Alejandro Newell
Zhiao Huang
Jia Deng
64
920
0
16 Nov 2016
One-Shot Video Object Segmentation
One-Shot Video Object Segmentation
Sergi Caelles
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Laura Leal-Taixé
Daniel Cremers
Luc Van Gool
VOS
53
909
0
16 Nov 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
144
18,136
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
240
37,704
0
20 May 2016
Learning to Refine Object Segments
Learning to Refine Object Segments
Pedro H. O. Pinheiro
Nayeon Lee
R. Collobert
Piotr Dollàr
SSeg
57
854
0
29 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
996
192,638
0
10 Dec 2015
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
423
7,952
0
13 Jun 2015
Holistically-Nested Edge Detection
Holistically-Nested Edge Detection
Saining Xie
Zhuowen Tu
77
3,479
0
24 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
154
43,290
0
01 May 2014
Efficient Inference in Fully Connected CRFs with Gaussian Edge
  Potentials
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krahenbuhl
V. Koltun
65
3,445
0
20 Oct 2012
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