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Learning to Segment Object Candidates

Learning to Segment Object Candidates

20 June 2015
Pedro H. O. Pinheiro
R. Collobert
Piotr Dollar
    SSeg
ArXivPDFHTML

Papers citing "Learning to Segment Object Candidates"

50 / 102 papers shown
Title
Learning to Fuse Things and Stuff
Learning to Fuse Things and Stuff
Jie Li
Allan Raventos
Arjun Bhargava
Takaaki Tagawa
Adrien Gaidon
25
104
0
04 Dec 2018
Generating Self-Guided Dense Annotations for Weakly Supervised Semantic
  Segmentation
Generating Self-Guided Dense Annotations for Weakly Supervised Semantic Segmentation
Zi-Yi Ke
Chiou-Ting Hsu
13
0
0
16 Oct 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
16
122
0
10 Sep 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjD
VLM
OOD
47
2,417
0
06 Sep 2018
Pixel Objectness: Learning to Segment Generic Objects Automatically in
  Images and Videos
Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos
Bo Xiong
S. Jain
Kristen Grauman
VOS
13
32
0
11 Aug 2018
Object Detection with Deep Learning: A Review
Object Detection with Deep Learning: A Review
Zhong-Qiu Zhao
Peng Zheng
Shou-tao Xu
Xindong Wu
ObjD
27
3,947
0
15 Jul 2018
Collaborative Annotation of Semantic Objects in Images with
  Multi-granularity Supervisions
Collaborative Annotation of Semantic Objects in Images with Multi-granularity Supervisions
Lishi Zhang
Chenghan Fu
Jia Li
25
8
0
27 Jun 2018
Intrinsic Image Transformation via Scale Space Decomposition
Intrinsic Image Transformation via Scale Space Decomposition
Lechao Cheng
Chengyi Zhang
Zicheng Liao
20
39
0
25 May 2018
Cross-connected Networks for Multi-task Learning of Detection and
  Segmentation
Cross-connected Networks for Multi-task Learning of Detection and Segmentation
Seiichiro Fukuda
Ryota Yoshihashi
Rei Kawakami
Shaodi You
M. Iida
T. Naemura
16
15
0
15 May 2018
Learning to See the Invisible: End-to-End Trainable Amodal Instance
  Segmentation
Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation
P. Follmann
Rebecca König
Philipp Härtinger
Michael Klostermann
VLM
ISeg
22
116
0
24 Apr 2018
Pose2Seg: Detection Free Human Instance Segmentation
Pose2Seg: Detection Free Human Instance Segmentation
Song-Hai Zhang
Ruilong Li
Xin Dong
Paul L. Rosin
Zixi Cai
Xi Han
Dingcheng Yang
Haozhi Huang
Shimin Hu
SSeg
23
200
0
28 Mar 2018
PersonLab: Person Pose Estimation and Instance Segmentation with a
  Bottom-Up, Part-Based, Geometric Embedding Model
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model
George Papandreou
Tyler Lixuan Zhu
Liang-Chieh Chen
Spyros Gidaris
Jonathan Tompson
Kevin Patrick Murphy
15
542
0
22 Mar 2018
Pseudo Mask Augmented Object Detection
Pseudo Mask Augmented Object Detection
Xiangyu Zhao
Shuang Liang
Yichen Wei
ObjD
16
42
0
15 Mar 2018
Path Aggregation Network for Instance Segmentation
Path Aggregation Network for Instance Segmentation
Shu Liu
Lu Qi
Haifang Qin
Jianping Shi
Jiaya Jia
ISeg
SSeg
52
5,633
0
05 Mar 2018
Using Deep Learning for Segmentation and Counting within Microscopy Data
Using Deep Learning for Segmentation and Counting within Microscopy Data
Carlos X. Hernández
Mohammad M. Sultan
Vijay S. Pande
19
33
0
28 Feb 2018
Object segmentation in depth maps with one user click and a
  synthetically trained fully convolutional network
Object segmentation in depth maps with one user click and a synthetically trained fully convolutional network
Matthieu Grard
Romain Brégier
Florian Sella
Emmanuel Dellandréa
Liming Luke Chen
32
12
0
04 Jan 2018
Towards dense object tracking in a 2D honeybee hive
Towards dense object tracking in a 2D honeybee hive
Katarzyna Bozek
Laetitia Hebert
A. Mikheyev
G. Stephens
VOT
22
47
0
22 Dec 2017
Video Object Detection with an Aligned Spatial-Temporal Memory
Video Object Detection with an Aligned Spatial-Temporal Memory
Fanyi Xiao
Yong Jae Lee
41
189
0
18 Dec 2017
An Error Detection and Correction Framework for Connectomics
An Error Detection and Correction Framework for Connectomics
J. Zung
Ignacio Tartavull
Kisuk Lee
H. S. Seung
3DV
22
44
0
08 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
37
442
0
08 Aug 2017
Drone-based Object Counting by Spatially Regularized Regional Proposal
  Network
Drone-based Object Counting by Spatially Regularized Regional Proposal Network
Meng-Ru Hsieh
Yen-Liang Lin
Winston H. Hsu
22
409
0
19 Jul 2017
Flow-free Video Object Segmentation
Flow-free Video Object Segmentation
Aditya Vora
S. Raman
VOS
9
2
0
29 Jun 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
37
3,058
0
19 May 2017
A Review on Deep Learning Techniques Applied to Semantic Segmentation
A Review on Deep Learning Techniques Applied to Semantic Segmentation
Alberto Garcia-Garcia
Sergio Orts
Sergiu Oprea
Victor Villena-Martinez
Jose Garcia-Rodriguez
3DV
SSeg
34
1,267
0
22 Apr 2017
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond
Siyuan Qiao
Wei Shen
Weichao Qiu
Chenxi Liu
Alan Yuille
14
36
0
22 Apr 2017
Reformulating Level Sets as Deep Recurrent Neural Network Approach to
  Semantic Segmentation
Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation
Ngan Le
Kha Gia Quach
Khoa Luu
Marios Savvides
Chenchen Zhu
16
71
0
12 Apr 2017
Zoom Out-and-In Network with Recursive Training for Object Proposal
Zoom Out-and-In Network with Recursive Training for Object Proposal
Hongyang Li
Yu Liu
Wanli Ouyang
Xiaogang Wang
ObjD
28
23
0
19 Feb 2017
Pixel Objectness
Pixel Objectness
S. Jain
Bo Xiong
Kristen Grauman
14
37
0
19 Jan 2017
Learning Features by Watching Objects Move
Learning Features by Watching Objects Move
Deepak Pathak
Ross B. Girshick
Piotr Dollár
Trevor Darrell
Bharath Hariharan
SSL
VOS
OCL
16
521
0
19 Dec 2016
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
168
21,804
0
09 Dec 2016
Object Detection Free Instance Segmentation With Labeling
  Transformations
Object Detection Free Instance Segmentation With Labeling Transformations
Long Jin
Zeyu Chen
Z. Tu
ISeg
18
16
0
28 Nov 2016
Fully Convolutional Instance-aware Semantic Segmentation
Fully Convolutional Instance-aware Semantic Segmentation
Yi Li
Haozhi Qi
Jifeng Dai
Xiangyang Ji
Yichen Wei
ISeg
SSeg
30
1,000
0
23 Nov 2016
Gland Instance Segmentation Using Deep Multichannel Neural Networks
Gland Instance Segmentation Using Deep Multichannel Neural Networks
Yan Xu
Yang Li
Yipei Wang
Mingyuan Liu
Yubo Fan
M. Lai
E. Chang
MedIm
32
163
0
21 Nov 2016
Multiview RGB-D Dataset for Object Instance Detection
Multiview RGB-D Dataset for Object Instance Detection
G. Georgakis
Md. Alimoor Reza
Arsalan Mousavian
P. Le
Jana Kosecka
3DPC
3DV
16
80
0
26 Sep 2016
Crafting a multi-task CNN for viewpoint estimation
Crafting a multi-task CNN for viewpoint estimation
Francisco Massa
Renaud Marlet
Mathieu Aubry
13
77
0
13 Sep 2016
Convolutional Oriented Boundaries
Convolutional Oriented Boundaries
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Pablo Arbelaez
Luc Van Gool
13
231
0
09 Aug 2016
DeepProposals: Hunting Objects and Actions by Cascading Deep
  Convolutional Layers
DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers
Amir Ghodrati
Ali Diba
M. Pedersoli
Tinne Tuytelaars
Luc Van Gool
ObjD
16
20
0
15 Jun 2016
Attend Refine Repeat: Active Box Proposal Generation via In-Out
  Localization
Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization
Spyridon Gidaris
N. Komodakis
ObjD
19
79
0
14 Jun 2016
End-to-End Instance Segmentation with Recurrent Attention
End-to-End Instance Segmentation with Recurrent Attention
Mengye Ren
R. Zemel
SSeg
16
61
0
30 May 2016
Object Contour Detection with a Fully Convolutional Encoder-Decoder
  Network
Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
Jimei Yang
Brian L. Price
Scott D. Cohen
Honglak Lee
Ming-Hsuan Yang
ObjD
16
365
0
15 Mar 2016
Learning Physical Intuition of Block Towers by Example
Learning Physical Intuition of Block Towers by Example
Adam Lerer
Sam Gross
Rob Fergus
PINN
11
298
0
03 Mar 2016
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Jifeng Dai
Kaiming He
Jian-jun Sun
SSeg
27
1,225
0
14 Dec 2015
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and
  Recurrent Neural Networks
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
Sean Bell
C. L. Zitnick
Kavita Bala
Ross B. Girshick
ObjD
27
1,204
0
14 Dec 2015
LocNet: Improving Localization Accuracy for Object Detection
LocNet: Improving Localization Accuracy for Object Detection
Spyros Gidaris
N. Komodakis
ObjD
26
140
0
24 Nov 2015
DenseBox: Unifying Landmark Localization with End to End Object
  Detection
DenseBox: Unifying Landmark Localization with End to End Object Detection
Lichao Huang
Yi Yang
Yafeng Deng
Yinan Yu
ObjD
22
461
0
16 Sep 2015
Proposal-free Network for Instance-level Object Segmentation
Proposal-free Network for Instance-level Object Segmentation
Xiaodan Liang
Yunchao Wei
Xiaohui Shen
Jianchao Yang
Liang Lin
Shuicheng Yan
SSeg
12
233
0
09 Sep 2015
Semantic Amodal Segmentation
Semantic Amodal Segmentation
Yan Zhu
Yuandong Tian
Dimitris N. Metaxas
Piotr Dollár
VLM
20
170
0
04 Sep 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-jun Sun
AIMat
ObjD
61
61,499
0
04 Jun 2015
DeepBox: Learning Objectness with Convolutional Networks
DeepBox: Learning Objectness with Convolutional Networks
Weicheng Kuo
Bharath Hariharan
Jitendra Malik
ObjD
22
184
0
08 May 2015
What makes for effective detection proposals?
What makes for effective detection proposals?
J. Hosang
Rodrigo Benenson
Piotr Dollár
Bernt Schiele
ObjD
31
732
0
17 Feb 2015
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