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Block Annotation: Better Image Annotation for Semantic Segmentation with
  Sub-Image Decomposition

Block Annotation: Better Image Annotation for Semantic Segmentation with Sub-Image Decomposition

16 February 2020
Hubert Lin
P. Upchurch
Kavita Bala
ArXivPDFHTML

Papers citing "Block Annotation: Better Image Annotation for Semantic Segmentation with Sub-Image Decomposition"

38 / 38 papers shown
Title
Interactive Full Image Segmentation by Considering All Regions Jointly
Interactive Full Image Segmentation by Considering All Regions Jointly
E. Agustsson
J. Uijlings
V. Ferrari
VLM
28
74
0
05 Dec 2018
CGIntrinsics: Better Intrinsic Image Decomposition through
  Physically-Based Rendering
CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering
Zhengqi Li
Noah Snavely
67
165
0
26 Aug 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
34
8
0
27 Jun 2018
Fluid Annotation: A Human-Machine Collaboration Interface for Full Image
  Annotation
Fluid Annotation: A Human-Machine Collaboration Interface for Full Image Annotation
Mykhaylo Andriluka
J. Uijlings
V. Ferrari
VLM
36
81
0
20 Jun 2018
Learning Pixel-level Semantic Affinity with Image-level Supervision for
  Weakly Supervised Semantic Segmentation
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation
Jiwoon Ahn
Suha Kwak
273
743
0
28 Mar 2018
Efficient Interactive Annotation of Segmentation Datasets with
  Polygon-RNN++
Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++
David Acuna
Huan Ling
Amlan Kar
Sanja Fidler
22
402
0
26 Mar 2018
Learning to Segment via Cut-and-Paste
Learning to Segment via Cut-and-Paste
Tal Remez
Jonathan Huang
Matthew A. Brown
53
99
0
16 Mar 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
66
13,005
0
07 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
101
19,124
0
13 Jan 2018
A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk
A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk
Kotaro Hara
Abigail Adams
Kristy Milland
Saiph Savage
Chris Callison-Burch
Jeffrey P. Bigham
21
438
0
14 Dec 2017
Learning to Segment Every Thing
Learning to Segment Every Thing
Ronghang Hu
Piotr Dollár
Kaiming He
Trevor Darrell
Ross B. Girshick
ISeg
VLM
47
296
0
28 Nov 2017
Deep Extreme Cut: From Extreme Points to Object Segmentation
Deep Extreme Cut: From Extreme Points to Object Segmentation
Kevis-Kokitsi Maninis
Sergi Caelles
Jordi Pont-Tuset
Luc Van Gool
48
418
0
24 Nov 2017
Extreme clicking for efficient object annotation
Extreme clicking for efficient object annotation
Dim P. Papadopoulos
J. Uijlings
Frank Keller
V. Ferrari
19
245
0
09 Aug 2017
Weakly Supervised Image Annotation and Segmentation with Objects and
  Attributes
Weakly Supervised Image Annotation and Segmentation with Objects and Attributes
Zhiyuan Shi
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
37
46
0
08 Aug 2017
Deep Interactive Region Segmentation and Captioning
Deep Interactive Region Segmentation and Captioning
Ali Sharifi Boroujerdi
M. Khanian
M. Breuß
28
7
0
26 Jul 2017
LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD
  Data of Cluttered Scenes
LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes
Pat Marion
Peter R. Florence
Lucas Manuelli
Russ Tedrake
3DV
47
109
0
15 Jul 2017
Deep GrabCut for Object Selection
Deep GrabCut for Object Selection
N. Xu
Brian L. Price
Scott D. Cohen
Jimei Yang
Thomas Huang
SSeg
38
122
0
02 Jul 2017
Real-Time User-Guided Image Colorization with Learned Deep Priors
Real-Time User-Guided Image Colorization with Learned Deep Priors
Richard Y. Zhang
Jun-Yan Zhu
Phillip Isola
Xinyang Geng
Angela S. Lin
Tianhe Yu
Alexei A. Efros
HAI
86
589
0
08 May 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
985
20,692
0
17 Apr 2017
Deep Image Matting
Deep Image Matting
N. Xu
Brian L. Price
Scott D. Cohen
Thomas Huang
37
448
0
10 Mar 2017
Weakly Supervised Semantic Segmentation using Web-Crawled Videos
Weakly Supervised Semantic Segmentation using Web-Crawled Videos
Seunghoon Hong
Donghun Yeo
Suha Kwak
Honglak Lee
Bohyung Han
57
158
0
02 Jan 2017
Physically-Based Rendering for Indoor Scene Understanding Using
  Convolutional Neural Networks
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks
Yinda Zhang
Shuran Song
Ersin Yumer
Manolis Savva
Joon-Young Lee
Hailin Jin
Thomas Funkhouser
AI4CE
SSL
3DV
3DPC
28
260
0
22 Dec 2016
COCO-Stuff: Thing and Stuff Classes in Context
COCO-Stuff: Thing and Stuff Classes in Context
Holger Caesar
J. Uijlings
V. Ferrari
89
1,377
0
12 Dec 2016
Semantic Scene Completion from a Single Depth Image
Semantic Scene Completion from a Single Depth Image
Shuran Song
Feng Yu
Andy Zeng
Angel X. Chang
Manolis Savva
Thomas Funkhouser
3DV
47
1,235
0
28 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
578
14,454
0
07 Oct 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
129
18,136
0
02 Jun 2016
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic
  Segmentation
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
Di Lin
Jifeng Dai
Jiaya Jia
Kaiming He
Jian Sun
SSeg
97
1,003
0
18 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
405
11,540
0
06 Apr 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
57
744
0
24 Mar 2016
Deep Interactive Object Selection
Deep Interactive Object Selection
N. Xu
Brian L. Price
Scott D. Cohen
Jimei Yang
Thomas Huang
31
427
0
13 Mar 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
244
745
0
06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
383
9,233
0
06 Jun 2015
What's the Point: Semantic Segmentation with Point Supervision
What's the Point: Semantic Segmentation with Point Supervision
Amy Bearman
Olga Russakovsky
V. Ferrari
Li Fei-Fei
3DPC
55
983
0
06 Jun 2015
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks
  for Semantic Segmentation
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
Jifeng Dai
Kaiming He
Jian Sun
82
1,040
0
05 Mar 2015
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image
  Segmentation
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
George Papandreou
Liang-Chieh Chen
Kevin Patrick Murphy
Alan Yuille
SSeg
60
916
0
09 Feb 2015
Fully Convolutional Multi-Class Multiple Instance Learning
Fully Convolutional Multi-Class Multiple Instance Learning
Deepak Pathak
Evan Shelhamer
Jonathan Long
Trevor Darrell
SSL
41
314
0
22 Dec 2014
Material Recognition in the Wild with the Materials in Context Database
Material Recognition in the Wild with the Materials in Context Database
Sean Bell
P. Upchurch
Noah Snavely
Kavita Bala
52
520
0
01 Dec 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
124
43,290
0
01 May 2014
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