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Semantic Instance Segmentation with a Discriminative Loss Function

Semantic Instance Segmentation with a Discriminative Loss Function

8 August 2017
Bert De Brabandere
D. Neven
Luc Van Gool
    SSeg
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Papers citing "Semantic Instance Segmentation with a Discriminative Loss Function"

19 / 219 papers shown
Title
Semi-convolutional Operators for Instance Segmentation
Semi-convolutional Operators for Instance Segmentation
David Novotny
Samuel Albanie
Diane Larlus
Andrea Vedaldi
ISeg
11
85
0
27 Jul 2018
Instance Segmentation by Deep Coloring
Instance Segmentation by Deep Coloring
V. Kulikov
V. Yurchenko
Victor Lempitsky
VLM
SSeg
ISeg
22
29
0
26 Jul 2018
ClusterNet: 3D Instance Segmentation in RGB-D Images
ClusterNet: 3D Instance Segmentation in RGB-D Images
Lin Shao
Ye Tian
Jeannette Bohg
3DPC
ISeg
16
8
0
24 Jul 2018
Bounding Box Embedding for Single Shot Person Instance Segmentation
Bounding Box Embedding for Single Shot Person Instance Segmentation
Jacob Richeimer
Jonathan Mitchell
11
0
0
20 Jul 2018
Beef Cattle Instance Segmentation Using Fully Convolutional Neural
  Network
Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network
Aram Ter-Sarkisov
R. Ross
John D. Kelleher
B. Earley
M. Keane
SSeg
11
13
0
05 Jul 2018
A Dataset for Lane Instance Segmentation in Urban Environments
A Dataset for Lane Instance Segmentation in Urban Environments
Brook Roberts
Sebastian Kaltwang
Sina Samangooei
Mark Pender-Bare
Konstantinos Tertikas
John Redford
10
12
0
03 Jul 2018
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning
  and A New Benchmark for Multi-Human Parsing
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing
Jian-jun Zhao
Jianshu Li
Yu Cheng
Li Zhou
Terence Sim
Shuicheng Yan
Jiashi Feng
8
173
0
10 Apr 2018
PersonLab: Person Pose Estimation and Instance Segmentation with a
  Bottom-Up, Part-Based, Geometric Embedding Model
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model
George Papandreou
Tyler Lixuan Zhu
Liang-Chieh Chen
Spyros Gidaris
Jonathan Tompson
Kevin Patrick Murphy
15
542
0
22 Mar 2018
Learning to Cluster for Proposal-Free Instance Segmentation
Learning to Cluster for Proposal-Free Instance Segmentation
Yen-Chang Hsu
Zheng Xu
Z. Kira
Jiawei Huang
SSeg
13
54
0
17 Mar 2018
Instance Embedding Transfer to Unsupervised Video Object Segmentation
Instance Embedding Transfer to Unsupervised Video Object Segmentation
Siyang Li
Bryan Seybold
A. Vorobyov
Alireza Fathi
Qin Huang
C.-C. Jay Kuo
VOS
18
104
0
03 Jan 2018
Recurrent Pixel Embedding for Instance Grouping
Recurrent Pixel Embedding for Instance Grouping
Shu Kong
Charless C. Fowlkes
10
180
0
22 Dec 2017
MaskLab: Instance Segmentation by Refining Object Detection with
  Semantic and Direction Features
MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features
Liang-Chieh Chen
Alexander Hermans
George Papandreou
Florian Schroff
Peng Wang
Hartwig Adam
ISeg
17
347
0
13 Dec 2017
Recurrent Neural Networks for Semantic Instance Segmentation
Recurrent Neural Networks for Semantic Instance Segmentation
Amaia Salvador
Míriam Bellver
Victor Campos
Manel Baradad
F. Marqués
Jordi Torres
Xavier Giró-i-Nieto
SSeg
19
62
0
02 Dec 2017
Distance to Center of Mass Encoding for Instance Segmentation
Distance to Center of Mass Encoding for Instance Segmentation
Thomio Watanabe
D. Wolf
ISeg
18
10
0
24 Nov 2017
An Error Detection and Correction Framework for Connectomics
An Error Detection and Correction Framework for Connectomics
J. Zung
Ignacio Tartavull
Kisuk Lee
H. S. Seung
3DV
8
44
0
08 Aug 2017
Fast Scene Understanding for Autonomous Driving
Fast Scene Understanding for Autonomous Driving
D. Neven
Bert De Brabandere
Stamatios Georgoulis
M. Proesmans
Luc Van Gool
SSeg
14
72
0
08 Aug 2017
Multiple-Human Parsing in the Wild
Multiple-Human Parsing in the Wild
Jianshu Li
Jian-jun Zhao
Yunchao Wei
Congyan Lang
Yidong Li
Terence Sim
Shuicheng Yan
Jiashi Feng
14
18
0
19 May 2017
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu
Chunhua Shen
A. Hengel
SSeg
245
1,490
0
30 Nov 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
216
2,055
0
07 Jun 2016
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