ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1704.02249
  4. Cited By
Learned Watershed: End-to-End Learning of Seeded Segmentation

Learned Watershed: End-to-End Learning of Seeded Segmentation

7 April 2017
Steffen Wolf
Lukas Schott
Ullrich Kothe
Fred Hamprecht
ArXivPDFHTML

Papers citing "Learned Watershed: End-to-End Learning of Seeded Segmentation"

13 / 13 papers shown
Title
A Multi-Pass Approach to Large-Scale Connectomics
A Multi-Pass Approach to Large-Scale Connectomics
Yaron Meirovitch
A. Matveev
Hayk Saribekyan
David Budden
David Rolnick
...
Seymour Knowles-Barley
T. Jones
Hanspeter Pfister
J. Lichtman
Nir Shavit
3DV
52
46
0
07 Dec 2016
Deep Watershed Transform for Instance Segmentation
Deep Watershed Transform for Instance Segmentation
Min Bai
R. Urtasun
ISeg
SSeg
110
522
0
24 Nov 2016
RhoanaNet Pipeline: Dense Automatic Neural Annotation
RhoanaNet Pipeline: Dense Automatic Neural Annotation
Seymour Knowles-Barley
V. Kaynig
T. Jones
A. Wilson
Joshua Morgan
Dongil Lee
Daniel R. Berger
N. Kasthuri
J. Lichtman
Hanspeter Pfister
3DV
50
22
0
21 Nov 2016
Flood-Filling Networks
Flood-Filling Networks
Michał Januszewski
Jeremy B. Maitin-Shepard
Peter H. Li
J. Kornfeld
W. Denk
Viren Jain
103
43
0
01 Nov 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
189
8,833
0
04 Feb 2016
Pushing the Boundaries of Boundary Detection using Deep Learning
Pushing the Boundaries of Boundary Detection using Deep Learning
Iasonas Kokkinos
51
232
0
23 Nov 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
260
8,434
0
23 Nov 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
310
13,214
0
09 Sep 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.7K
76,917
0
18 May 2015
Image Segmentation by Size-Dependent Single Linkage Clustering of a
  Watershed Basin Graph
Image Segmentation by Size-Dependent Single Linkage Clustering of a Watershed Basin Graph
A. Zlateski
H. S. Seung
42
45
0
01 May 2015
Holistically-Nested Edge Detection
Holistically-Nested Edge Detection
Saining Xie
Zhuowen Tu
119
3,484
0
24 Apr 2015
Machine learning of hierarchical clustering to segment 2D and 3D images
Machine learning of hierarchical clustering to segment 2D and 3D images
Juan Nunez-Iglesias
Ryan Kennedy
T. Parag
Jianbo Shi
D. Chklovskii
44
156
0
25 Mar 2013
Maximin affinity learning of image segmentation
Maximin affinity learning of image segmentation
Srinivas C. Turaga
K. Briggman
M. Helmstaedter
W. Denk
H. S. Seung
110
146
0
28 Nov 2009
1