8.3.4.2 Neural Networks for Segmentation

Chapter Contents (Back)
Neural Networks. Semantic Segmentation.

Tsao, E.C.K.[Eric Chen-Kuo], Lin, W.C.[Wei-Chung], Chen, C.T.[Chin-Tu],
Constraint satisfaction neural networks for image recognition,
PR(26), No. 4, April 1993, pp. 553-567.
WWW Link. 0401
BibRef
Earlier: A2, A1, A3:
Constraint Satisfaction Neural Networks for Image Segmentation,
PR(25), No. 7, July 1992, pp. 679-693.
WWW Link. BibRef

Chen, K.S., Tsay, D.H., Huang, W.P., Tzeng, Y.C.,
Remote Sensing Image Segmentation Using a Kalman Filter-Trained Neural-Network,
IJIST(7), No. 2, Summer 1996, pp. 141-148. 9607
BibRef

Cheng, K.S.[Kuo-Sheng], Lin, J.S.[Jzau-Sheng], Mao, C.W.[Chi-Wu],
The Application of Competitive Hopfield Neural Network to Medical Image Segmentation,
MedImg(15), No. 4, August 1996, pp. 560-567.
IEEE Top Reference. 0203
BibRef

Ziemke, T.,
Radar Image Segmentation Using Recurrent Artificial Neural Networks,
PRL(17), No. 4, April 4 1996, pp. 319-334. 9605
BibRef

Routa, S.[Saroj], Seethalakshmy, A.G., Srivastava, P.[Pramod], Majumdar, J.[Jharna],
Multimodal Image Segmentation Using a Modified Hopfield Neural Network,
PR(31), No. 6, June 1998, pp. 743-750.
WWW Link. 9806
BibRef

Venkatesh, Y.V., Rishikesh, N.,
Self-Organizing Neural Networks Based on Spatial Isomorphism for Active Contour Modeling,
PR(33), No. 7, July 2000, pp. 1239-1250.
WWW Link. 0005
BibRef

Venkatesh, Y.V., Raja, S.K., Ramya, N.,
Multiple contour extraction from graylevel images using an artificial neural network,
IP(15), No. 4, April 2006, pp. 892-899.
IEEE DOI 0604
BibRef

Gupta, L.[Lalit], Mangai, U.G.[Utthara Gosa], Das, S.[Sukhendu],
Integrating region and edge information for texture segmentation using a modified constraint satisfaction neural network,
IVC(26), No. 8, 1 August 2008, pp. 1106-1117.
WWW Link. 0806
Constraint satisfaction neural networks (CSNN); Segmentation; Texture edge detection; Fuzzy-C means (FCM); Dynamic window BibRef

Sahami, S., Shayesteh, M.G.,
Bi-level image compression technique using neural networks,
IET-IPR(6), No. 5, 2012, pp. 496-506.
DOI Link 1210
BibRef

Lngkvist, M.[Martin], Kiselev, A.[Andrey], Alirezaie, M.[Marjan], Loutfi, A.[Amy],
Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks,
RS(8), No. 4, 2016, pp. 329.
DOI Link 1604
BibRef

Wei, Y.C.[Yun-Chao], Liang, X.D.[Xiao-Dan], Chen, Y.P.[Yun-Peng], Jie, Z.[Zequn], Xiao, Y.H.[Yan-Hui], Zhao, Y.[Yao], Yan, S.C.[Shui-Cheng],
Learning to segment with image-level annotations,
PR(59), No. 1, 2016, pp. 234-244.
Elsevier DOI 1609
Semantic segmentation. with CNNs BibRef

Wei, Y.C.[Yun-Chao], Liang, X.D.[Xiao-Dan], Chen, Y.P.[Yun-Peng], Shen, X., Cheng, M.M., Feng, J., Zhao, Y.[Yao], Yan, S.C.[Shui-Cheng],
STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation,
PAMI(39), No. 11, November 2017, pp. 2314-2320.
IEEE DOI 1710
Benchmark testing, Image segmentation, Neural networks, Object detection, Semantics, Training, Semantic segmentation, convolutional neural network, weakly-supervised learning BibRef

Dong, L.[Le], Feng, N.[Ning], Zhang, Q.[Qianni],
LSI: Latent semantic inference for natural image segmentation,
PR(59), No. 1, 2016, pp. 282-291.
Elsevier DOI 1609
Image Segmentation BibRef

Lu, Z.W.[Zhi-Wu], Fu, Z.Y.[Zhen-Yong], Xiang, T.[Tao], Han, P.[Peng], Wang, L.[Liwei], Gao, X.[Xin],
Learning from Weak and Noisy Labels for Semantic Segmentation,
PAMI(39), No. 3, March 2017, pp. 486-500.
IEEE DOI 1702
Computational modeling BibRef

Cao, Y., Shen, C., Shen, H.T.,
Exploiting Depth From Single Monocular Images for Object Detection and Semantic Segmentation,
IP(26), No. 2, February 2017, pp. 836-846.
IEEE DOI 1702
estimation theory BibRef

Zhang, M.[Mi], Hu, X.Y.[Xiang-Yun], Zhao, L.[Like], Lv, Y.[Ye], Luo, M.[Min], Pang, S.Y.[Shi-Yan],
Learning Dual Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Ghodrati, A.[Amir], Diba, A.[Ali], Pedersoli, M.[Marco], Tuytelaars, T.[Tinne], Van Gool, L.J.[Luc J.],
DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers,
IJCV(124), No. 2, September 2017, pp. 115-131.
Springer DOI 1708
BibRef
Earlier:
DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers,
ICCV15(2578-2586)
IEEE DOI 1602
Aggregates BibRef


Nissen, M.S.[Malte S.], Krause, O.[Oswin], Almstrup, K.[Kristian], Kjrulff, S.[Sren], Nielsen, T.T.[Torben T.], Nielsen, M.[Mads],
Convolutional Neural Networks for Segmentation and Object Detection of Human Semen,
SCIA17(I: 397-406).
Springer DOI 1706
BibRef

Schneider, L.[Lukas], Jasch, M.[Manuel], Frhlich, B.[Bjrn], Weber, T.[Thomas], Franke, U.[Uwe], Pollefeys, M.[Marc], Rtsch, M.[Matthias],
Multimodal Neural Networks: RGB-D for Semantic Segmentation and Object Detection,
SCIA17(I: 98-109).
Springer DOI 1706
BibRef

Garca, G.M., Husain, F., Schulz, H., Frintrop, S., Torras, C., Behnke, S.,
Semantic segmentation priors for object discovery,
ICPR16(549-554)
IEEE DOI 1705
Computer vision, Image color analysis, Image segmentation, Neural networks, Proposals, Semantics BibRef

Wang, C., Mauch, L., Guo, Z., Yang, B.,
On semantic image segmentation using deep convolutional neural network with shortcuts and easy class extension,
IPTA16(1-6)
IEEE DOI 1703
image segmentation BibRef

Mousavian, A., Pirsiavash, H., Koeck, J.,
Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks,
3DV16(611-619)
IEEE DOI 1701
Computer architecture BibRef

Visin, F., Romero, A., Cho, K., Matteucci, M., Ciccone, M., Kastner, K., Bengio, Y., Courville, A.,
ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation,
DeepLearn-C16(426-433)
IEEE DOI 1612
BibRef

Wang, C.Y.[Chun-Yan], Xu, A.[Aigong], Li, C.[Chao], Zhao, X.M.[Xue-Mei],
Interval Type-2 Fuzzy Based Neural Network For High Resolution Remote Sensing Image Segmentation,
ISPRS16(B7: 385-391).
DOI Link 1610
BibRef

Jarrar, M., Kerkeni, A., Abdallah, A.B., Bedoui, M.H.,
MLP Neural Network Classifier for Medical Image Segmentation,
CGiV16(88-93)
IEEE DOI 1608
image classification BibRef

Hernndez, J.[Juanita], Gmez, W.[Wilfrido],
Automatic Tuning of the Pulse-Coupled Neural Network Using Differential Evolution for Image Segmentation,
MCPR16(157-166).
Springer DOI 1608
BibRef

Murdock, C.[Calvin], de la Torre, F.[Fernando],
Semantic Component Analysis,
ICCV15(1484-1492)
IEEE DOI 1602
Feature extraction. decomposition of images into semantic components. BibRef

Liu, Z., Li, X., Luo, P., Loy, C.C., Tang, X.,
Semantic Image Segmentation via Deep Parsing Network,
ICCV15(1377-1385)
IEEE DOI 1602
Computational efficiency BibRef

Papandreou, G., Chen, L.C., Murphy, K.P., Yuille, A.L.,
Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation,
ICCV15(1742-1750)
IEEE DOI 1602
Benchmark testing BibRef

Noh, H., Hong, S., Han, B.,
Learning Deconvolution Network for Semantic Segmentation,
ICCV15(1520-1528)
IEEE DOI 1602
Deconvolution BibRef

Lin, D., Dai, J., Jia, J., He, K., Sun, J.,
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation,
CVPR16(3159-3167)
IEEE DOI 1612
BibRef

Dai, J., He, K., Sun, J.,
Instance-Aware Semantic Segmentation via Multi-task Network Cascades,
CVPR16(3150-3158)
IEEE DOI 1612
BibRef
And:
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation,
ICCV15(1635-1643)
IEEE DOI 1602
Erbium BibRef

Pathak, D., Krahenbuhl, P., Darrell, T.J.,
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation,
ICCV15(1796-1804)
IEEE DOI 1602
Convolutional codes BibRef

Safar, S.[Simon], Yang, M.H.[Ming-Hsuan],
Learning shape priors for object segmentation via neural networks,
ICIP15(1835-1839)
IEEE DOI 1512
Object segmentation; convolutional neural networks; shape priors BibRef

Gidaris, S., Komodakis, N.,
LocNet: Improving Localization Accuracy for Object Detection,
CVPR16(789-798)
IEEE DOI 1612
BibRef
Earlier:
Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model,
ICCV15(1134-1142)
IEEE DOI 1602
Biological system modeling BibRef

Rota Bulo, S.[Samuel], Kontschieder, P.[Peter],
Neural Decision Forests for Semantic Image Labelling,
CVPR14(81-88)
IEEE DOI 1409
neural network; random forest; semantic image labelling BibRef

Masci, J.[Jonathan], Giusti, A.[Alessandro], Ciresan, D.C.[Dan C.], Fricout, G.[Gabriel], Schmidhuber, J.[Jurgen],
A fast learning algorithm for image segmentation with max-pooling convolutional networks,
ICIP13(2713-2717)
IEEE DOI 1402
Convolutional Network BibRef

Giusti, A.[Alessandro], Ciresan, D.C.[Dan C.], Masci, J.[Jonathan], Gambardella, L.M.[Luca M.], Schmidhuber, J.[Jurgen],
Fast image scanning with deep max-pooling convolutional neural networks,
ICIP13(4034-4038)
IEEE DOI 1402
Biomedical Imaging BibRef

del Campo-Becerra, G.D.M.[Gustavo D. Martn], Yaez-Vargas, J.I.[Juan I.], Lpez-Ruz, J.A.[Josu A.],
Texture Analysis of Mean Shift Segmented Low-Resolution Speckle-Corrupted Fractional SAR Imagery through Neural Network Classification,
CASI14(998-1005).
Springer DOI 1411
BibRef

Yazdanpanah, A.P.[Ali Pour], Regentova, E.E.[Emma E.], Mandava, A.K.[Ajay Kumar], Ahmad, T.[Touqeer],
Sky Segmentation by Fusing Clustering with Neural Networks,
ISVC13(II:663-672).
Springer DOI 1311
BibRef

Andersen, J.D.[Jens D.],
Image Decomposition by Radial Basis Functions,
SCIA03(749-754).
Springer DOI 0310
BibRef

Matsui, K.[Kazuhiro], Kosugi, Y.[Yukio],
Image Segmentation by Neural-net Classifiers with Genetic Selection of Feature Indices,
ICIP99(I:524-528).
IEEE DOI BibRef 9900

Zong, X., Meyer-Baese, A., and Laine, A.,
Multiscale Segmentation Through a Radial Basis Neural Network,
ICIP97(III: 400-403).
IEEE DOI BibRef 9700

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Other Complete Systems .


Last update:Nov 11, 2017 at 13:31:57