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FreeLabel: A Publicly Available Annotation Tool based on Freehand Traces

FreeLabel: A Publicly Available Annotation Tool based on Freehand Traces

18 February 2019
P. Dias
Zhou Shen
A. Tabb
Henry Medeiros
ArXivPDFHTML

Papers citing "FreeLabel: A Publicly Available Annotation Tool based on Freehand Traces"

20 / 20 papers shown
Title
Multispecies fruit flower detection using a refined semantic
  segmentation network
Multispecies fruit flower detection using a refined semantic segmentation network
P. Dias
A. Tabb
Henry Medeiros
42
113
0
20 Sep 2018
Apple Flower Detection using Deep Convolutional Networks
Apple Flower Detection using Deep Convolutional Networks
P. Dias
A. Tabb
Henry Medeiros
34
202
0
17 Sep 2018
Iteratively Trained Interactive Segmentation
Iteratively Trained Interactive Segmentation
Sabarinath Mahadevan
P. Voigtlaender
Bastian Leibe
VLM
75
120
0
11 May 2018
Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning
Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning
Yuhua Chen
Jordi Pont-Tuset
Alberto Montes
Luc Van Gool
VOS
53
265
0
09 Apr 2018
Normalized Cut Loss for Weakly-supervised CNN Segmentation
Normalized Cut Loss for Weakly-supervised CNN Segmentation
Meng Tang
Abdelaziz Djelouah
Federico Perazzi
Yuri Boykov
Christopher Schroers
44
317
0
04 Apr 2018
Semantic Segmentation Refinement by Monte Carlo Region Growing of High
  Confidence Detections
Semantic Segmentation Refinement by Monte Carlo Region Growing of High Confidence Detections
P. Dias
Henry Medeiros
SSeg
41
33
0
21 Feb 2018
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
65
418
0
24 Nov 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
344
27,129
0
20 Mar 2017
Looking at Outfit to Parse Clothing
Looking at Outfit to Parse Clothing
Pongsate Tangseng
Zhipeng Wu
Kota Yamaguchi
CVBM
34
56
0
04 Mar 2017
COCO-Stuff: Thing and Stuff Classes in Context
COCO-Stuff: Thing and Stuff Classes in Context
Holger Caesar
J. Uijlings
V. Ferrari
116
1,384
0
12 Dec 2016
Superpixels: An Evaluation of the State-of-the-Art
Superpixels: An Evaluation of the State-of-the-Art
David Stutz
Alexander Hermans
Bastian Leibe
SupR
116
470
0
06 Dec 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
75
1,004
0
23 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
219
18,195
0
02 Jun 2016
DeepCut: Object Segmentation from Bounding Box Annotations using
  Convolutional Neural Networks
DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks
Martin Rajchl
M. J. Lee
Ozan Oktay
Konstantinos Kamnitsas
Jonathan Passerat-Palmbach
...
Mellisa Damodaram
Mary A. Rutherford
Joseph V. Hajnal
Bernhard Kainz
Daniel Rueckert
45
377
0
25 May 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
121
1,006
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
938
11,587
0
06 Apr 2016
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image
  Segmentation
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
Alexander Kolesnikov
Christoph H. Lampert
SSeg
50
746
0
19 Mar 2016
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs
  and a Discriminatively Trained Domain Transform
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
Liang-Chieh Chen
Jonathan T. Barron
George Papandreou
Kevin Patrick Murphy
Alan Yuille
62
366
0
10 Nov 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
371
43,524
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
121
3,452
0
20 Oct 2012
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