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. 1603.08695
  4. Cited By
Learning to Refine Object Segments

Learning to Refine Object Segments

29 March 2016
Pedro H. O. Pinheiro
Tsung-Yi Lin
R. Collobert
Piotr Dollàr
    SSeg
ArXivPDFHTML

Papers citing "Learning to Refine Object Segments"

18 / 118 papers shown
Title
Superhuman Accuracy on the SNEMI3D Connectomics Challenge
Superhuman Accuracy on the SNEMI3D Connectomics Challenge
Kisuk Lee
J. Zung
Peter H. Li
Viren Jain
H. S. Seung
3DV
17
266
0
31 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
Unsupervised learning from video to detect foreground objects in single
  images
Unsupervised learning from video to detect foreground objects in single images
Ioana Croitoru
Simion-Vlad Bogolin
Marius Leordeanu
OCL
18
57
0
31 Mar 2017
All You Need is Beyond a Good Init: Exploring Better Solution for
  Training Extremely Deep Convolutional Neural Networks with Orthonormality and
  Modulation
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation
Di Xie
Jiang Xiong
Shiliang Pu
14
181
0
06 Mar 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
31
23
0
19 Feb 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
22
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
183
21,804
0
09 Dec 2016
Classification With an Edge: Improving Semantic Image Segmentation with
  Boundary Detection
Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection
D. Marmanis
Konrad Schindler
Jan Dirk Wegner
S. Galliani
Mihai Datcu
Uwe Stilla
29
603
0
05 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
20
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
37
163
0
21 Nov 2016
Convolutional Oriented Boundaries
Convolutional Oriented Boundaries
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Pablo Arbelaez
Luc Van Gool
13
231
0
09 Aug 2016
Salient Object Subitizing
Salient Object Subitizing
Jianming Zhang
Shugao Ma
M. Sameki
Stan Sclaroff
Margrit Betke
Zhe-nan Lin
Xiaohui Shen
Brian L. Price
R. Měch
21
115
0
26 Jul 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
21
79
0
14 Jun 2016
Semantic Amodal Segmentation
Semantic Amodal Segmentation
Yan Zhu
Yuandong Tian
Dimitris N. Metaxas
Piotr Dollár
VLM
20
170
0
04 Sep 2015
Previous
123