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CRF Learning with CNN Features for Image Segmentation

CRF Learning with CNN Features for Image Segmentation

Pattern Recognition (PR), 2015
28 March 2015
Fayao Liu
Guosheng Lin
Chunhua Shen
    SSeg
ArXiv (abs)PDFHTML

Papers citing "CRF Learning with CNN Features for Image Segmentation"

26 / 26 papers shown
Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling
Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling
Subhasis Dasgupta
Preetam Saha
Agniva Roy
Jaydip Sen
198
0
0
21 Aug 2025
Enhancing Lossy Compression Through Cross-Field Information for
  Scientific Applications
Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications
Youyuan Liu
Wenqi Jia
Taolue Yang
Miao Yin
Sian Jin
263
4
0
26 Sep 2024
Model-based inexact graph matching on top of CNNs for semantic scene
  understanding
Model-based inexact graph matching on top of CNNs for semantic scene understandingComputer Vision and Image Understanding (CVIU), 2023
Jérémy Chopin
Jean-Baptiste Fasquel
Harold Mouchère
Rozenn Dahyot
Isabelle Bloch
224
8
0
18 Jan 2023
Semantic Probabilistic Layers for Neuro-Symbolic Learning
Semantic Probabilistic Layers for Neuro-Symbolic LearningNeural Information Processing Systems (NeurIPS), 2022
Kareem Ahmed
Stefano Teso
Kai-Wei Chang
Karen Ullrich
Antonio Vergari
TPM
293
111
0
01 Jun 2022
Joint Learning of Frequency and Spatial Domains for Dense Predictions
Joint Learning of Frequency and Spatial Domains for Dense Predictions
Shaocheng Jia
Wei-Ting Yao
170
0
0
18 Feb 2022
Introspective Robot Perception using Smoothed Predictions from Bayesian
  Neural Networks
Introspective Robot Perception using Smoothed Predictions from Bayesian Neural NetworksInternational Symposium of Robotics Research (ISRR), 2021
Jianxiang Feng
M. Durner
Zoltán-Csaba Márton
Ferenc Bálint-Benczédi
Rudolph Triebel
UQCVBDL
301
12
0
27 Sep 2021
Importance-Aware Semantic Segmentation in Self-Driving with Discrete
  Wasserstein Training
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
Xiaofeng Liu
Yuzhuo Han
S. Bai
Yi Ge
Tianxing Wang
Xu Han
Site Li
J. You
Jun Lu
230
64
0
21 Oct 2020
Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation
  in Autonomous Driving
Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving
Xiaofeng Liu
Yimeng Zhang
Xiongchang Liu
S. Bai
Site Li
J. You
189
5
0
11 Aug 2020
Adaptive ROI Generation for Video Object Segmentation Using
  Reinforcement Learning
Adaptive ROI Generation for Video Object Segmentation Using Reinforcement LearningPattern Recognition (Pattern Recognit.), 2019
Mingjie Sun
Jimin Xiao
Eng Gee Lim
Yanchun Xie
Jiashi Feng
VOS
256
31
0
27 Sep 2019
Unsupervised Visual Feature Learning with Spike-timing-dependent
  Plasticity: How Far are we from Traditional Feature Learning Approaches?
Unsupervised Visual Feature Learning with Spike-timing-dependent Plasticity: How Far are we from Traditional Feature Learning Approaches?
Pierre Falez
Pierre Tirilly
Ioan Marius Bilasco
P. Devienne
Pierre Boulet
SSL
222
35
0
14 Jan 2019
Learning Direct Optimization for Scene Understanding
Learning Direct Optimization for Scene Understanding
Lukasz Romaszko
Christopher K. I. Williams
J. Winn
284
7
0
18 Dec 2018
Person Re-identification with Deep Similarity-Guided Graph Neural
  Network
Person Re-identification with Deep Similarity-Guided Graph Neural Network
Yantao Shen
Jiaming Song
Shuai Yi
Dapeng Chen
Xiaogang Wang
3DH
207
283
0
26 Jul 2018
Image Distortion Detection using Convolutional Neural Network
Image Distortion Detection using Convolutional Neural Network
Namhyuk Ahn
Byungkon Kang
Kyung-ah Sohn
121
16
0
28 May 2018
Taskonomy: Disentangling Task Transfer Learning
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir
Alexander Sax
Bokui (William) Shen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
773
1,362
0
23 Apr 2018
A Saliency-based Convolutional Neural Network for Table and Chart
  Detection in Digitized Documents
A Saliency-based Convolutional Neural Network for Table and Chart Detection in Digitized Documents
I. Kavasidis
S. Palazzo
C. Spampinato
C. Pino
D. Giordano
D. Giuffrida
P. Messina
190
102
0
17 Apr 2018
Conditional Random Field and Deep Feature Learning for Hyperspectral
  Image Segmentation
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation
F. Alam
J. Zhou
Alan Wee-Chung Liew
Wenxuan Wang
Jocelyn Chanussot
Yongsheng Gao
SSeg
248
27
0
13 Nov 2017
Recent Advances in the Applications of Convolutional Neural Networks to
  Medical Image Contour Detection
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection
Zizhao Zhang
Fuyong Xing
H. Su
Xiaoshuang Shi
Ling Yang
AAML
179
14
0
24 Aug 2017
Revisiting Graph Construction for Fast Image Segmentation
Revisiting Graph Construction for Fast Image SegmentationPattern Recognition (PR), 2017
Zizhao Zhang
Fuyong Xing
Hanzi Wang
Y. Yan
Ying Huang
Xiaoshuang Shi
Lin Yang
275
21
0
18 Feb 2017
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
293
176
0
21 Nov 2016
Leveraging Structural Context Models and Ranking Score Fusion for Human
  Interaction Prediction
Leveraging Structural Context Models and Ranking Score Fusion for Human Interaction PredictionIEEE transactions on multimedia (TMM), 2016
Qiuhong Ke
Bennamoun
Senjian An
F. Boussaïd
Ferdous Sohel
302
40
0
18 Aug 2016
Gland Instance Segmentation by Deep Multichannel Neural Networks
Gland Instance Segmentation by Deep Multichannel Neural Networks
Yan Xu
Yongqian Li
Mingyuan Liu
Yipei Wang
Yubo Fan
M. Lai
E. Chang
MedIm
251
18
0
17 Jul 2016
Discriminative Training of Deep Fully-connected Continuous CRF with
  Task-specific Loss
Discriminative Training of Deep Fully-connected Continuous CRF with Task-specific Loss
Fayao Liu
Guosheng Lin
Chunhua Shen
194
24
0
28 Jan 2016
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
938
5,877
0
22 Dec 2015
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
Francesco Visin
Marco Ciccone
Adriana Romero
Kyle Kastner
Dong Wang
Yoshua Bengio
Matteo Matteucci
Aaron Courville
VLMSSeg
411
264
0
22 Nov 2015
Integrated Inference and Learning of Neural Factors in Structural
  Support Vector Machines
Integrated Inference and Learning of Neural Factors in Structural Support Vector MachinesPattern Recognition (PR), 2015
Rein Houthooft
F. Turck
DRL
194
3
0
03 Aug 2015
Efficient Semidefinite Branch-and-Cut for MAP-MRF Inference
Efficient Semidefinite Branch-and-Cut for MAP-MRF InferenceInternational Journal of Computer Vision (IJCV), 2014
Peng Wang
Chunhua Shen
Anton Van Den Hengel
Juil Sock
355
3
0
20 Apr 2014
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