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Simultaneous Detection and Segmentation

Simultaneous Detection and Segmentation

7 July 2014
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
    ObjD
    ISeg
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Papers citing "Simultaneous Detection and Segmentation"

50 / 479 papers shown
Title
Deep Watershed Transform for Instance Segmentation
Deep Watershed Transform for Instance Segmentation
Min Bai
R. Urtasun
ISeg
SSeg
35
520
0
24 Nov 2016
InstanceCut: from Edges to Instances with MultiCut
InstanceCut: from Edges to Instances with MultiCut
Alexander Kirillov
Evgeny Levinkov
Bjoern Andres
Bogdan Savchynskyy
Carsten Rother
SSeg
31
250
0
24 Nov 2016
Straight to Shapes: Real-time Detection of Encoded Shapes
Straight to Shapes: Real-time Detection of Encoded Shapes
Saumya Jetley
Michael Sapienza
Stuart Golodetz
Philip Torr
ObjD
25
50
0
23 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
44
1,002
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
42
163
0
21 Nov 2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TS
SSeg
107
2,831
0
20 Nov 2016
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage
  Assessment
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment
Nazia Attari
Ferda Ofli
Mohammad Awad
J. Lucas
Sanjay Chawla
52
44
0
20 Nov 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
48
919
0
16 Nov 2016
Location Sensitive Deep Convolutional Neural Networks for Segmentation
  of White Matter Hyperintensities
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
Mohsen Ghafoorian
N. Karssemeijer
Tom Heskes
I. V. Uden
C. I. Sánchez
G. Litjens
F.‐E. Leeuw
Bram van Ginneken
E. Marchiori
B. Platel
SSeg
23
236
0
16 Oct 2016
Exploiting Depth from Single Monocular Images for Object Detection and
  Semantic Segmentation
Exploiting Depth from Single Monocular Images for Object Detection and Semantic Segmentation
Yuanzhouhan Cao
Chunhua Shen
Heng Tao Shen
MDE
34
65
0
06 Oct 2016
Automated Visual Fin Identification of Individual Great White Sharks
Automated Visual Fin Identification of Individual Great White Sharks
Benjamin Hughes
T. Burghardt
19
43
0
20 Sep 2016
Bottom-up Instance Segmentation using Deep Higher-Order CRFs
Bottom-up Instance Segmentation using Deep Higher-Order CRFs
Anurag Arnab
Philip Torr
SSeg
23
52
0
08 Sep 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-,
  Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Iasonas Kokkinos
SSeg
SSL
50
670
0
07 Sep 2016
A Holistic Approach for Data-Driven Object Cutout
A Holistic Approach for Data-Driven Object Cutout
Huayong Xu
Yangyan Li
Wenzheng Chen
Dani Lischinski
Daniel Cohen-Or
Baoquan Chen
35
4
0
18 Aug 2016
Multi-stage Object Detection with Group Recursive Learning
Multi-stage Object Detection with Group Recursive Learning
Jianan Li
Xiaodan Liang
Jianshu Li
Tingfa Xu
Jiashi Feng
Shuicheng Yan
ObjD
24
50
0
18 Aug 2016
On Minimal Accuracy Algorithm Selection in Computer Vision and
  Intelligent Systems
On Minimal Accuracy Algorithm Selection in Computer Vision and Intelligent Systems
M. Lukac
Kamila Abdiyeva
M. Kameyama
16
0
0
12 Aug 2016
Reasoning and Algorithm Selection Augmented Symbolic Segmentation
Reasoning and Algorithm Selection Augmented Symbolic Segmentation
M. Lukac
Kamila Abdiyeva
M. Kameyama
8
3
0
12 Aug 2016
Region-based semantic segmentation with end-to-end training
Region-based semantic segmentation with end-to-end training
Holger Caesar
J. Uijlings
V. Ferrari
19
80
0
26 Jul 2016
Deep learning trends for focal brain pathology segmentation in MRI
Deep learning trends for focal brain pathology segmentation in MRI
Mohammad Havaei
N. Guizard
Hugo Larochelle
Pierre-Marc Jodoin
OOD
22
83
0
18 Jul 2016
Gland Instance Segmentation by Deep Multichannel Neural Networks
Gland Instance Segmentation by Deep Multichannel Neural Networks
Yan Xu
Yongqian Li
Mingyuan Liu
Yipei Wang
Yubo Fan
M. Lai
E. Chang
MedIm
27
18
0
17 Jul 2016
Weakly supervised object detection using pseudo-strong labels
Weakly supervised object detection using pseudo-strong labels
Ke Yang
Dongsheng Li
Y. Dou
Shaohe Lv
Qiang Wang
WSOD
9
1
0
16 Jul 2016
Enlightening Deep Neural Networks with Knowledge of Confounding Factors
Enlightening Deep Neural Networks with Knowledge of Confounding Factors
Yu Zhong
G. Ettinger
32
25
0
08 Jul 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
92
18,058
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
60
37,606
0
20 May 2016
Fast Graph-Based Object Segmentation for RGB-D Images
Fast Graph-Based Object Segmentation for RGB-D Images
Giorgio Toscana
Stefano Rosa
9
13
0
12 May 2016
Deeply Exploit Depth Information for Object Detection
Deeply Exploit Depth Information for Object Detection
Saihui Hou
Zilei Wang
Feng Wu
22
7
0
08 May 2016
Unsupervised Total Variation Loss for Semi-supervised Deep Learning of
  Semantic Segmentation
Unsupervised Total Variation Loss for Semi-supervised Deep Learning of Semantic Segmentation
Mehran Javanmardi
Mehdi S. M. Sajjadi
Ting Liu
Tolga Tasdizen
DRL
27
16
0
04 May 2016
Amodal Instance Segmentation
Amodal Instance Segmentation
Ke Li
Jitendra Malik
ISeg
22
151
0
27 Apr 2016
Pixel-level Encoding and Depth Layering for Instance-level Semantic
  Labeling
Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling
J. Uhrig
Marius Cordts
Uwe Franke
Thomas Brox
SSeg
27
174
0
18 Apr 2016
Detangling People: Individuating Multiple Close People and Their Body
  Parts via Region Assembly
Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly
Hao Jiang
Kristen Grauman
3DH
9
9
0
13 Apr 2016
Cross-stitch Networks for Multi-task Learning
Cross-stitch Networks for Multi-task Learning
Ishan Misra
Abhinav Shrivastava
Abhinav Gupta
M. Hebert
37
1,337
0
12 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
100
11,480
0
06 Apr 2016
Object Boundary Guided Semantic Segmentation
Object Boundary Guided Semantic Segmentation
Qin Huang
Chunyang Xia
Wenchao Zheng
Yuhang Song
Hao Xu
C.-C. Jay Kuo
SSeg
12
10
0
31 Mar 2016
Learning to Refine Object Segments
Learning to Refine Object Segments
Pedro H. O. Pinheiro
Nayeon Lee
R. Collobert
Piotr Dollàr
SSeg
44
854
0
29 Mar 2016
Instance-sensitive Fully Convolutional Networks
Instance-sensitive Fully Convolutional Networks
Jifeng Dai
Kaiming He
Yi Li
Shaoqing Ren
Jian Sun
SSeg
37
397
0
29 Mar 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
80
3,521
0
28 Mar 2016
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Anna Khoreva
Rodrigo Benenson
J. Hosang
Matthias Hein
Bernt Schiele
WSOD
VLM
ISeg
45
741
0
24 Mar 2016
Segmentation from Natural Language Expressions
Segmentation from Natural Language Expressions
Ronghang Hu
Marcus Rohrbach
Trevor Darrell
VLM
EgoV
30
426
0
20 Mar 2016
Combining the Best of Convolutional Layers and Recurrent Layers: A
  Hybrid Network for Semantic Segmentation
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation
Zhicheng Yan
Huatian Zhang
Yangqing Jia
Thomas Breuel
Yizhou Yu
SSeg
27
41
0
15 Mar 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
24
365
0
15 Mar 2016
Pushing the Limits of Deep CNNs for Pedestrian Detection
Pushing the Limits of Deep CNNs for Pedestrian Detection
Qichang Hu
Peng Wang
Chunhua Shen
Anton van den Hengel
Fatih Porikli
14
94
0
15 Mar 2016
Exploring Context with Deep Structured models for Semantic Segmentation
Exploring Context with Deep Structured models for Semantic Segmentation
Guosheng Lin
Chunhua Shen
Anton van den Hengel
Ian Reid
SSeg
104
125
0
10 Mar 2016
Weakly Supervised Localization using Deep Feature Maps
Weakly Supervised Localization using Deep Feature Maps
Archith J. Bency
H. Kwon
Hyungtae Lee
S. Karthikeyan
B. S. Manjunath
WSOL
30
73
0
01 Mar 2016
Deconvolutional Feature Stacking for Weakly-Supervised Semantic
  Segmentation
Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation
Hyo-Eun Kim
Sangheum Hwang
SSeg
11
18
0
16 Feb 2016
Generating Discriminative Object Proposals via Submodular Ranking
Generating Discriminative Object Proposals via Submodular Ranking
Yangmuzi Zhang
Zhuolin Jiang
Xi Chen
Larry S. Davis
19
0
0
11 Feb 2016
Self-Transfer Learning for Fully Weakly Supervised Object Localization
Self-Transfer Learning for Fully Weakly Supervised Object Localization
Sangheum Hwang
Hyo-Eun Kim
WSOL
15
39
0
04 Feb 2016
A Deep Learning Based Fast Image Saliency Detection Algorithm
A Deep Learning Based Fast Image Saliency Detection Algorithm
H. Pan
Hui Jiang
FAtt
4
6
0
01 Feb 2016
Locally-Supervised Deep Hybrid Model for Scene Recognition
Locally-Supervised Deep Hybrid Model for Scene Recognition
Sheng Guo
Weilin Huang
Limin Wang
Yu Qiao
18
53
0
27 Jan 2016
Analysis and Observations from the First Amazon Picking Challenge
Analysis and Observations from the First Amazon Picking Challenge
N. Correll
Kostas E. Bekris
Dmitry Berenson
Oliver Brock
A. Causo
Kris K. Hauser
K. Okada
Alberto Rodriguez
Joseph M. Romano
Peter R. Wurman
11
418
0
21 Jan 2016
Learning Transferrable Knowledge for Semantic Segmentation with Deep
  Convolutional Neural Network
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
Seunghoon Hong
Junhyuk Oh
Bohyung Han
Honglak Lee
SSeg
16
173
0
24 Dec 2015
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