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Conditional Random Fields as Recurrent Neural Networks
v1v2v3 (latest)

Conditional Random Fields as Recurrent Neural Networks

11 February 2015
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Juil Sock
    SSeg
ArXiv (abs)PDFHTML

Papers citing "Conditional Random Fields as Recurrent Neural Networks"

50 / 938 papers shown
Recurrent Inference Machines as inverse problem solvers for MR
  relaxometry
Recurrent Inference Machines as inverse problem solvers for MR relaxometry
E. Sabidussi
S. Klein
M. Caan
S. Bazrafkan
A. J. D. Dekker
Jan Sijbers
W. Niessen
D. H. Poot
99
14
0
08 Jun 2021
Combinatorial Optimization for Panoptic Segmentation: A Fully
  Differentiable Approach
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable ApproachNeural Information Processing Systems (NeurIPS), 2021
Ahmed Abbas
Paul Swoboda
382
16
0
06 Jun 2021
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation
  Task
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation TaskIEEE Access (IEEE Access), 2021
Darwin Saire
Adín Ramirez Rivera
137
5
0
28 May 2021
Structured Convolutional Kernel Networks for Airline Crew Scheduling
Structured Convolutional Kernel Networks for Airline Crew SchedulingInternational Conference on Machine Learning (ICML), 2021
Yassine Yaakoubi
F. Soumis
Damien Scieur
AI4TS
238
10
0
25 May 2021
HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs
  and Position-aware Flow Embedding
HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow EmbeddingComputer Vision and Pattern Recognition (CVPR), 2021
Ruibo Li
Guosheng Lin
Tong He
Fayao Liu
Chunhua Shen
3DPC
179
61
0
17 May 2021
Neural Weighted A*: Learning Graph Costs and Heuristics with
  Differentiable Anytime A*
Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A*International Conference on Machine Learning, Optimization, and Data Science (MOD), 2021
Alberto Archetti
Marco Cannici
Matteo Matteucci
239
9
0
04 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI
  Safety
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben
Stephanie Abrecht
Maram Akila
Andreas Bär
Felix Brockherde
...
Serin Varghese
Michael Weber
Sebastian J. Wirkert
Tim Wirtz
Matthias Woehrle
AAML
325
61
0
29 Apr 2021
Semantic Segmentation by Improved Generative Adversarial Networks
Semantic Segmentation by Improved Generative Adversarial Networks
ZengShun Zhaoa
Yulong Wang
Ke Liu
Haoran Yang
Qian Sun
Heng Qiao
GANSSeg
152
8
0
20 Apr 2021
CTNet: Context-based Tandem Network for Semantic Segmentation
CTNet: Context-based Tandem Network for Semantic SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Zechao Li
Yanpeng Sun
Jinhui Tang
164
224
0
20 Apr 2021
Multi-target prediction for dummies using two-branch neural networks
Multi-target prediction for dummies using two-branch neural networksMachine-mediated learning (ML), 2021
Dimitrios Iliadis
B. De Baets
Willem Waegeman
171
13
0
19 Apr 2021
An MRF-UNet Product of Experts for Image Segmentation
An MRF-UNet Product of Experts for Image SegmentationInternational Conference on Medical Imaging with Deep Learning (MIDL), 2021
Mikael Brudfors
Yael Balbastre
John Ashburner
G. Rees
P. Nachev
Sébastien Ourselin
M. Jorge Cardoso
172
6
0
12 Apr 2021
A Design Space Study for LISTA and Beyond
A Design Space Study for LISTA and BeyondInternational Conference on Learning Representations (ICLR), 2021
Tianjian Meng
Xiaohan Chen
Lezhi Li
Zinan Lin
189
3
0
08 Apr 2021
DCANet: Dense Context-Aware Network for Semantic Segmentation
DCANet: Dense Context-Aware Network for Semantic Segmentation
Yifu Liu
Chenfeng Xu
Xinyu Jin
SSeg
126
1
0
06 Apr 2021
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D
  Semantic Segmentation
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2021
Zhengzhe Liu
Xiaojuan Qi
Chi-Wing Fu
3DPC
266
147
0
06 Apr 2021
Robust Trust Region for Weakly Supervised Segmentation
Robust Trust Region for Weakly Supervised SegmentationIEEE International Conference on Computer Vision (ICCV), 2021
D. Marin
Yuri Boykov
UQCV
216
4
0
05 Apr 2021
Causal Hidden Markov Model for Time Series Disease Forecasting
Causal Hidden Markov Model for Time Series Disease ForecastingComputer Vision and Pattern Recognition (CVPR), 2021
Jing Li
Botong Wu
Xinwei Sun
Yizhou Wang
CMLOOD
129
44
0
30 Mar 2021
Enhanced Boundary Learning for Glass-like Object Segmentation
Enhanced Boundary Learning for Glass-like Object SegmentationIEEE International Conference on Computer Vision (ICCV), 2021
Hao He
Xiangtai Li
Guangliang Cheng
Jianping Shi
Yunhai Tong
Gaofeng Meng
V. Prinet
Lubin Weng
192
101
0
29 Mar 2021
PlaneSegNet: Fast and Robust Plane Estimation Using a Single-stage
  Instance Segmentation CNN
PlaneSegNet: Fast and Robust Plane Estimation Using a Single-stage Instance Segmentation CNNIEEE International Conference on Robotics and Automation (ICRA), 2021
Yaxu Xie
J. Rambach
Fangwen Shu
D. Stricker
SSeg
170
15
0
29 Mar 2021
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric
  Alignment and Category-Center Regularization
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center RegularizationComputer Vision and Pattern Recognition (CVPR), 2021
Haoyu Ma
Xiangru Lin
Zifeng Wu
Yizhou Yu
166
74
0
24 Mar 2021
Learning to Optimize: A Primer and A Benchmark
Learning to Optimize: A Primer and A BenchmarkJournal of machine learning research (JMLR), 2021
Tianlong Chen
Xiaohan Chen
Wuyang Chen
Howard Heaton
Jialin Liu
Zinan Lin
W. Yin
585
303
0
23 Mar 2021
A Comprehensive Survey of Scene Graphs: Generation and Application
A Comprehensive Survey of Scene Graphs: Generation and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Xiaojun Chang
Pengzhen Ren
Pengfei Xu
Zhihui Li
Xiaojiang Chen
Alexander G. Hauptmann
3DV
489
290
0
17 Mar 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in
  3D MRI Brain Tumor Segmentation
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor SegmentationInformation Fusion (Inf. Fusion), 2021
K. R. M. Fernando
Cris P Tsokos
223
66
0
09 Mar 2021
Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised
  Semantic Segmentation
Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic Segmentation
Chaohao Xie
Dongwei Ren
Lei Wang
W. Zuo
253
4
0
09 Mar 2021
Variational Structured Attention Networks for Deep Visual Representation
  Learning
Variational Structured Attention Networks for Deep Visual Representation LearningIEEE Transactions on Image Processing (TIP), 2021
Guanglei Yang
Paolo Rota
Xavier Alameda-Pineda
Dan Xu
M. Ding
Elisa Ricci
3DPC
173
6
0
05 Mar 2021
Non-local Channel Aggregation Network for Single Image Rain Removal
Non-local Channel Aggregation Network for Single Image Rain RemovalNeurocomputing (Neurocomputing), 2021
Zhipeng Su
Yixiong Zhang
Xiao-Ping Zhang
Feng Qi
215
13
0
03 Mar 2021
A Hierarchical Conditional Random Field-based Attention Mechanism
  Approach for Gastric Histopathology Image Classification
A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification
Yixin Li
Xinran Wu
Chen Li
Changhao Sun
M. Rahaman
Hao Chen
Yudong Yao
Xiaoyan Li
Yong Zhang
Tao Jiang
226
27
0
21 Feb 2021
Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation
Atlas-aware ConvNetfor Accurate yet Robust Anatomical SegmentationAsian Conference on Machine Learning (ACML), 2021
Yuan Liang
Weinan Song
Jiawei Yang
Liang Qiu
Kun Wang
Lei He
MedIm
115
3
0
02 Feb 2021
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Exploring Cross-Image Pixel Contrast for Semantic SegmentationIEEE International Conference on Computer Vision (ICCV), 2021
Wenguan Wang
Tianfei Zhou
Feng Yu
Jifeng Dai
E. Konukoglu
Luc Van Gool
461
542
0
28 Jan 2021
Segmenting Transparent Object in the Wild with Transformer
Segmenting Transparent Object in the Wild with Transformer
Enze Xie
Wenjia Wang
Wenhai Wang
Pei Sun
Hang Xu
Ding Liang
Ping Luo
ViT
521
29
0
21 Jan 2021
A survey on shape-constraint deep learning for medical image
  segmentation
A survey on shape-constraint deep learning for medical image segmentationIEEE Reviews in Biomedical Engineering (IEEE Rev. Biomed. Eng.), 2021
Simon Bohlender
Ilkay Oksuz
Anirban Mukhopadhyay
3DV
246
55
0
19 Jan 2021
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from
  Monocular images
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular imagesNeurocomputing (Neurocomputing), 2021
Lei He
Jiwen Lu
Guanghui Wang
Shiyu Song
Jie Zhou
173
79
0
19 Jan 2021
Non-parametric Memory for Spatio-Temporal Segmentation of Construction
  Zones for Self-Driving
Non-parametric Memory for Spatio-Temporal Segmentation of Construction Zones for Self-Driving
Min Bai
Shenlong Wang
K. Wong
Ersin Yumer
R. Urtasun
84
1
0
18 Jan 2021
ORDNet: Capturing Omni-Range Dependencies for Scene Parsing
ORDNet: Capturing Omni-Range Dependencies for Scene ParsingIEEE Transactions on Image Processing (TIP), 2020
Shaofei Huang
Si Liu
Tianrui Hui
Jizhong Han
Yue Liu
Jiashi Feng
Shuicheng Yan
3DPCOffRL
196
16
0
11 Jan 2021
Probabilistic Graph Attention Network with Conditional Kernels for
  Pixel-Wise Prediction
Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise PredictionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Dan Xu
Xavier Alameda-Pineda
Wanli Ouyang
Elisa Ricci
Xiaogang Wang
Andrii Zadaianchuk
205
27
0
08 Jan 2021
RethNet: Object-by-Object Learning for Detecting Facial Skin Problems
RethNet: Object-by-Object Learning for Detecting Facial Skin Problems
Shohrukh Bekmirzaev
Seoyoung Oh
Sang-Ah Yoo
125
2
0
06 Jan 2021
Weakly-Supervised Saliency Detection via Salient Object Subitizing
Weakly-Supervised Saliency Detection via Salient Object Subitizing
Xiaoyang Zheng
Xin Tan
Jie Zhou
Lizhuang Ma
Rynson W. H. Lau
182
21
0
04 Jan 2021
Weakly Supervised Multi-Object Tracking and Segmentation
Weakly Supervised Multi-Object Tracking and Segmentation
Idoia Ruiz
Lorenzo Porzi
Samuel Rota Buló
Peter Kontschieder
J. Serrat
187
12
0
03 Jan 2021
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective
  with Transformers
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with TransformersComputer Vision and Pattern Recognition (CVPR), 2020
Sixiao Zheng
Jiachen Lu
Hengshuang Zhao
Xiatian Zhu
Zekun Luo
...
Yanwei Fu
Jianfeng Feng
Tao Xiang
Juil Sock
Li Zhang
ViT
541
3,415
0
31 Dec 2020
End-to-End Deep Structured Models for Drawing Crosswalks
End-to-End Deep Structured Models for Drawing CrosswalksEuropean Conference on Computer Vision (ECCV), 2018
Justin Liang
R. Urtasun
252
20
0
21 Dec 2020
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2020
Y. Nirkin
Lior Wolf
Tal Hassner
SSeg
324
227
0
21 Dec 2020
A Multi-View Dynamic Fusion Framework: How to Improve the Multimodal
  Brain Tumor Segmentation from Multi-Views?
A Multi-View Dynamic Fusion Framework: How to Improve the Multimodal Brain Tumor Segmentation from Multi-Views?
Yi Ding
Wei Zheng
Guozheng Wu
Ji Geng
Mingsheng Cao
Zhiguang Qin
129
2
0
21 Dec 2020
MA-Unet: An improved version of Unet based on multi-scale and attention
  mechanism for medical image segmentation
MA-Unet: An improved version of Unet based on multi-scale and attention mechanism for medical image segmentation
Yutong Cai
Yong Wang
SSeg
158
83
0
20 Dec 2020
LGENet: Local and Global Encoder Network for Semantic Segmentation of
  Airborne Laser Scanning Point Clouds
LGENet: Local and Global Encoder Network for Semantic Segmentation of Airborne Laser Scanning Point CloudsIsprs Journal of Photogrammetry and Remote Sensing (ISPRS J. Photogramm. Remote Sens.), 2020
Yaping Lin
G. Vosselman
Yanpeng Cao
M. Yang
3DPC
231
26
0
18 Dec 2020
A Holistically-Guided Decoder for Deep Representation Learning with
  Applications to Semantic Segmentation and Object Detection
A Holistically-Guided Decoder for Deep Representation Learning with Applications to Semantic Segmentation and Object DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Jianbo Liu
Sijie Ren
Yuanjie Zheng
Xiaogang Wang
Jiaming Song
SSeg
216
12
0
18 Dec 2020
Unsupervised Image Segmentation using Mutual Mean-Teaching
Unsupervised Image Segmentation using Mutual Mean-Teaching
Zhichao Wu
Lei Guo
Hao Zhang
Dan Xu
91
0
0
16 Dec 2020
Meticulous Object Segmentation
Meticulous Object Segmentation
Chenglin Yang
Yilin Wang
Jianming Zhang
Chentao Song
Zhe Lin
Alan Yuille
246
12
0
13 Dec 2020
Rethinking Learnable Tree Filter for Generic Feature Transform
Rethinking Learnable Tree Filter for Generic Feature Transform
Lin Song
Yanwei Li
Zhengkai Jiang
Zeming Li
Xiangyu Zhang
Hongbin Sun
Jian Sun
N. Zheng
187
17
0
07 Dec 2020
High Fidelity Interactive Video Segmentation Using Tensor Decomposition
  Boundary Loss Convolutional Tessellations and Context Aware Skip Connections
High Fidelity Interactive Video Segmentation Using Tensor Decomposition Boundary Loss Convolutional Tessellations and Context Aware Skip ConnectionsConference on Visual Media Production (VMP), 2020
A. Rhodes
Manan Goel
VOS
105
2
0
23 Nov 2020
Upgraded W-Net with Attention Gates and its Application in Unsupervised
  3D Liver Segmentation
Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver SegmentationInternational Conference on Pattern Recognition Applications and Methods (ICPRAM), 2020
Dhanunjaya Mitta
S. Chatterjee
Oliver Speck
A. Nürnberger
SSegMedIm
113
8
0
20 Nov 2020
Lung Segmentation in Chest X-rays with Res-CR-Net
Lung Segmentation in Chest X-rays with Res-CR-Net
H. Abdulah
B. Huber
Sinan Lal
H. Abdallah
H. Soltanian-Zadeh
D. Gatti
MedImSSeg
288
2
0
14 Nov 2020
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