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1109
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PDF File.
0809
Assign each pixel to a semantic class.
A local appearance model, a local consistency model and a global
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BibRef
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Dance, C.R.[Christopher R.],
Fisher Kernels on Visual Vocabularies for Image Categorization,
CVPR07(1-8).
IEEE DOI
0706
BibRef
Earlier:
Csurka, G.[Gabriela],
Bressan, M.[Marco],
Adapted Vocabularies for Generic Visual Categorization,
ECCV06(IV: 464-475).
Springer DOI
0608
BibRef
Csurka, G.[Gabriela],
Dance, C.R.[Christopher R.],
Perronnin, F.[Florent],
Willamowski, J.[Jutta],
Generic Visual Categorization Using Weak Geometry,
CLOR06(207-224).
Springer DOI
0711
BibRef
Earlier: A1, A4, A2, A3:
Incorporating Geometry Information with Weak Classifiers for Improved
Generic Visual Categorization,
CIAP05(612-620).
Springer DOI
0509
BibRef
Kemmler, M.[Michael],
Rodner, E.[Erik],
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Denzler, J.[Joachim],
One-Class Classification with Gaussian Processes,
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Elsevier DOI
1307
BibRef
Earlier: A1, A2, A4, Only:
ACCV10(II: 489-500).
Springer DOI
1011
BibRef
Earlier: A1, A2, A4, Only:
Global Context Extraction for Object Recognition Using a Combination of
Range and Visual Features,
Dyn3D09(96-109).
Springer DOI
0909
Combine range and visual, determine general class of scene.
One-class classification
BibRef
Bodesheim, P.[Paul],
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Denzler, J.[Joachim],
Approximations of Gaussian Process Uncertainties for Visual Recognition
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SCIA13(182-194).
Springer DOI
1311
BibRef
Earlier: A1, A3, A2, A4:
Divergence-Based One-Class Classification Using Gaussian Processes,
BMVC12(50).
DOI Link
1301
See also Classification of Microorganisms via Raman Spectroscopy Using Gaussian Processes.
BibRef
Käding, C.[Christoph],
Freytag, A.[Alexander],
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Perino, A.[Andrea],
Denzler, J.[Joachim],
Large-Scale Active Learning with Approximations of Expected Model
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GCPR16(179-191).
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1611
BibRef
Freytag, A.[Alexander],
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Denzler, J.[Joachim],
Selecting Influential Examples: Active Learning with Expected Model
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ECCV14(IV: 562-577).
Springer DOI
1408
BibRef
Rodner, E.[Erik],
Freytag, A.[Alexander],
Bodesheim, P.[Paul],
Fröhlich, B.[Björn],
Denzler, J.[Joachim],
Large-Scale Gaussian Process Inference with Generalized Histogram
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IJCV(121), No. 2, January 2017, pp. 253-280.
Springer DOI
1702
BibRef
Freytag, A.[Alexander],
Rodner, E.[Erik],
Bodesheim, P.[Paul],
Denzler, J.[Joachim],
Labeling Examples That Matter:
Relevance-Based Active Learning with Gaussian Processes,
GCPR13(282-291).
Springer DOI
1311
BibRef
Earlier:
Rapid Uncertainty Computation with Gaussian Processes and Histogram
Intersection Kernels,
ACCV12(II:511-524).
Springer DOI
1304
BibRef
Freytag, A.[Alexander],
Frohlich, B.[Bjorn],
Rodner, E.[Erik],
Denzler, J.[Joachim],
Efficient semantic segmentation with Gaussian processes and histogram
intersection kernels,
ICPR12(3313-3316).
WWW Link.
1302
BibRef
Rodner, E.[Erik],
Freytag, A.[Alexander],
Bodesheim, P.[Paul],
Denzler, J.[Joachim],
Large-Scale Gaussian Process Classification with Flexible Adaptive
Histogram Kernels,
ECCV12(IV: 85-98).
Springer DOI
1210
BibRef
Rodner, E.[Erik],
Hegazy, D.,
Denzler, J.[Joachim],
Multiple kernel Gaussian process classification for generic 3D object
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IVCNZ10(1-8).
IEEE DOI
1203
BibRef
Pei, D.L.[De-Li],
Li, Z.G.[Zhen-Guo],
Ji, R.R.[Rong-Rong],
Sun, F.C.[Fu-Chun],
Efficient semantic image segmentation with multi-class ranking prior,
CVIU(120), No. 1, 2014, pp. 81-90.
Elsevier DOI
1403
Computer vision
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Osuna-Enciso, V.[Valentín],
Bioinspired metaheuristics for image segmentation,
ELCVIA(13), No. 2, 2014, pp. xx-yy.
WWW Link.
1407
Ph.D.. Thesis.
BibRef
Wang, L.[Le],
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Xue, J.R.[Jian-Ru],
Gao, Z.N.[Zhan-Ning],
Zheng, N.N.[Nan-Ning],
Joint Segmentation and Recognition of Categorized Objects From Noisy
Web Image Collection,
IP(23), No. 9, September 2014, pp. 4070-4086.
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1410
image retrieval
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Gould, S.[Stephen],
He, X.M.[Xu-Ming],
Scene Understanding by Labeling Pixels,
CACM(57), No. 11, November 2014, pp. 68-77.
DOI Link
1411
Pixels labeled with a scene's semantics and geometry let computers
describe what they see.
BibRef
Liu, Z.[Zhi],
Xu, S.Q.[Shu-Qiong],
Zhang, Y.[Yun],
Chen, C.L.P.,
A Multiple-Feature and Multiple-Kernel Scene Segmentation Algorithm
for Humanoid Robot,
Cyber(44), No. 11, November 2014, pp. 2232-2241.
IEEE DOI
1411
Gabor filters
BibRef
Kang, H.,
Hebert, M.,
Efros, A.A.,
Kanade, T.,
Data-Driven Objectness,
PAMI(37), No. 1, January 2015, pp. 189-195.
IEEE DOI
1412
Databases. Is it an object, not a specific object.
BibRef
Wang, L.L.[Li-Li],
Yung, N.H.C.[Nelson H.C.],
Hybrid graphical model for semantic image segmentation,
JVCIR(28), No. 1, 2015, pp. 83-96.
Elsevier DOI
1503
Semantic segmentation
BibRef
Wang, L.L.[Li-Li],
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Improved hierarchical conditional random field model for object
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MVA(26), No. 7-8, November 2015, pp. 1027-1043.
WWW Link.
1511
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Xia, W.[Wei],
Domokos, C.[Csaba],
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Yan, S.C.[Shui-Cheng],
Background Context Augmented Hypothesis Graph for Object Segmentation,
CirSysVideo(25), No. 4, April 2015, pp. 582-594.
IEEE DOI
1504
Context
BibRef
Xia, W.[Wei],
Domokos, C.[Csaba],
Xiong, J.,
Cheong, L.F.[Loong-Fah],
Yan, S.C.[Shui-Cheng],
Segmentation Over Detection via Optimal Sparse Reconstructions,
CirSysVideo(25), No. 8, August 2015, pp. 1295-1308.
IEEE DOI
1508
Bismuth
BibRef
Xia, W.[Wei],
Domokos, C.[Csaba],
Dong, J.[Jian],
Cheong, L.F.[Loong-Fah],
Yan, S.C.[Shui-Cheng],
Semantic Segmentation without Annotating Segments,
ICCV13(2176-2183)
IEEE DOI
1403
Given object bounding box.
BibRef
Kumar, M.P.,
Turki, H.,
Preston, D.,
Koller, D.,
Parameter Estimation and Energy Minimization for Region-Based
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PAMI(37), No. 7, July 2015, pp. 1373-1386.
IEEE DOI
1506
Biological system modeling
BibRef
Korner, M.[Marco],
Krishna, M.V.[Mahesh V.],
Susse, H.[Herbert],
Ortmann, W.[Wolfang],
Denzler, J.[Joachim],
Regularized Geometric Hulls for Bio-medical Image Segmentation,
BMVA(2015), No. 4, 2015, pp. 1-12.
PDF File.
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BibRef
Mottaghi, R.[Roozbeh],
Fidler, S.[Sanja],
Yuille, A.L.,
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Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding,
PAMI(38), No. 1, January 2016, pp. 74-87.
IEEE DOI
1601
Analytical models
BibRef
Mottaghi, R.[Roozbeh],
Fidler, S.[Sanja],
Yao, J.[Jian],
Urtasun, R.[Raquel],
Parikh, D.[Devi],
Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs,
CVPR13(3143-3150)
IEEE DOI
1309
Explore effects by using humans in loop for parts of the problem.
BibRef
Ravě, D.,
Bober, M.,
Farinella, G.M.,
Guarnera, M.,
Battiato, S.,
Semantic segmentation of images exploiting DCT based features and
random forest,
PR(52), No. 1, 2016, pp. 260-273.
Elsevier DOI
1601
Semantic segmentation
BibRef
Tung, F.[Frederick],
Little, J.J.[James J.],
Scene parsing by nonparametric label transfer of content-adaptive
windows,
CVIU(143), No. 1, 2016, pp. 191-200.
Elsevier DOI
1601
BibRef
Earlier:
CollageParsing:
Nonparametric Scene Parsing by Adaptive Overlapping Windows,
ECCV14(VI: 511-525).
Springer DOI
1408
Image parsing
BibRef
Zarchi, M.S.,
Tan, R.T.,
van Gemeren, C.[Coert],
Monadjemi, A.,
Veltkamp, R.C.[Remco C.],
Understanding image concepts using ISTOP model,
PR(53), No. 1, 2016, pp. 174-183.
Elsevier DOI
1602
Visual term. Image parsing.
BibRef
Jiang, J.,
Song, X.,
An Optimized Higher Order CRF for Automated Labeling and Segmentation
of Video Objects,
CirSysVideo(26), No. 3, March 2016, pp. 506-516.
IEEE DOI
1603
Color
BibRef
Diebold, J.[Julia],
Nieuwenhuis, C.[Claudia],
Cremers, D.[Daniel],
Midrange Geometric Interactions for Semantic Segmentation,
IJCV(117), No. 3, May 2016, pp. 199-225.
Springer DOI
1605
See also Convex Optimization for Scene Understanding. See also Proximity Priors for Variational Semantic Segmentation and Recognition.
BibRef
Nieuwenhuis, C.[Claudia],
Strekalovskiy, E.[Evgeny],
Cremers, D.[Daniel],
Proportion Priors for Image Sequence Segmentation,
ICCV13(2328-2335)
IEEE DOI
1403
BibRef
Earlier: A2, A1, A3:
Nonmetric Priors for Continuous Multilabel Optimization,
ECCV12(VII: 208-221).
Springer DOI
1210
BibRef
Hazirbas, C.[Caner],
Diebold, J.[Julia],
Cremers, D.[Daniel],
Optimizing the Relevance-Redundancy Tradeoff for Efficient Semantic
Segmentation,
SSVM15(243-255).
Springer DOI
1506
BibRef
Zand, M.,
Doraisamy, S.,
Halin, A.A.[A. Abdul],
Mustaffa, M.R.,
Ontology-Based Semantic Image Segmentation Using Mixture Models and
Multiple CRFs,
IP(25), No. 7, July 2016, pp. 3233-3248.
IEEE DOI
1606
image segmentation
BibRef
Pont-Tuset, J.[Jordi],
Arbeláez, P.[Pablo],
Barron, J.T.[Jon T.],
Marques, F.[Ferran],
Malik, J.[Jitendra],
Multiscale Combinatorial Grouping for Image Segmentation and Object
Proposal Generation,
PAMI(39), No. 1, January 2017, pp. 128-140.
IEEE DOI
1612
BibRef
Earlier: A2, A1, A3, A4, A5:
Multiscale Combinatorial Grouping,
CVPR14(328-335)
IEEE DOI
1409
Detectors.
Image Segmentation; Object Candidates
BibRef
Hariharan, B.[Bharath],
Arbeláez, P.[Pablo],
Girshick, R.[Ross],
Malik, J.[Jitendra],
Simultaneous Detection and Segmentation,
ECCV14(VII: 297-312).
Springer DOI
1408
See also Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation.
BibRef
Arbelaez, P.[Pablo],
Hariharan, B.[Bharath],
Gu, C.H.[Chun-Hui],
Gupta, S.[Saurabh],
Bourdev, L.[Lubomir],
Malik, J.[Jitendra],
Semantic segmentation using regions and parts,
CVPR12(3378-3385).
IEEE DOI
1208
BibRef
Shelhamer, E.[Evan],
Long, J.[Jonathan],
Darrell, T.J.[Trevor J.],
Fully Convolutional Networks for Semantic Segmentation,
PAMI(39), No. 4, April 2017, pp. 640-651.
IEEE DOI
1703
BibRef
Earlier: A2, A1, A3:
CVPR15(3431-3440)
IEEE DOI
1510
Award, CVPR, HM. Computer architecture
BibRef
Shelhamer, E.[Evan],
Rakelly, K.[Kate],
Hoffman, J.[Judy],
Darrell, T.J.[Trevor J.],
Clockwork Convnets for Video Semantic Segmentation,
VSeg16(III: 852-868).
Springer DOI
1611
BibRef
Li, Y.,
Guo, Y.,
Kao, Y.,
He, R.,
Image Piece Learning for Weakly Supervised Semantic Segmentation,
SMCS(47), No. 4, April 2017, pp. 648-659.
IEEE DOI
1704
Correlation
BibRef
Wang, L.T.[Lian-Tao],
Meng, D.,
Hu, X.L.[Xue-Lei],
Lu, J.F.[Jian-Feng],
Zhao, J.[Ji],
Instance Annotation via Optimal BoW for Weakly Supervised Object
Localization,
Cyber(47), No. 5, May 2017, pp. 1313-1324.
IEEE DOI
1704
BibRef
Earlier: A1, A5, A3, A4, Only:
Weakly supervised object localization via maximal entropy randomwalk,
ICIP14(1614-1617)
IEEE DOI
1502
Birds.
Entropy
BibRef
Zheng, C.[Chen],
Zhang, Y.[Yun],
Wang, L.G.[Lei-Guang],
Semantic Segmentation of Remote Sensing Imagery Using an Object-Based
Markov Random Field Model With Auxiliary Label Fields,
GeoRS(55), No. 5, May 2017, pp. 3015-3028.
IEEE DOI
1705
Markov processes, image segmentation, remote sensing,
auxiliary label field, hierarchical semantic information,
object-based MRF model, object-based Markov random field model,
probability distribution, remote sensing imagery,
remote sensing images, semantic segmentation, Context,
Context modeling, Image segmentation, Probability distribution,
Remote sensing, Semantics, Spatial resolution,
Auxiliary label field, object-based Markov random field,
remote sensing image, semantic, segmentation
BibRef
Liu, Y.[Yu],
Nguyen, D.M.[Duc Minh],
Deligiannis, N.[Nikos],
Ding, W.[Wenrui],
Munteanu, A.[Adrian],
Hourglass-Shape Network Based Semantic Segmentation for High
Resolution Aerial Imagery,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link
1706
BibRef
Czúni, L.[László],
Rashad, M.[Metwally],
The use of IMUs for video object retrieval in lightweight devices,
JVCIR(48), No. 1, 2017, pp. 30-42.
Elsevier DOI
1708
BibRef
Earlier:
View centered video-based object recognition for lightweight devices,
WSSIP16(1-4)
IEEE DOI
1608
Video object retrieval.
image recognition
BibRef
Czuni, L.[Laszlo],
Kiss, P.J.[Peter Jozsef],
Lipovits, A.[Agnes],
Gal, M.[Monika],
Lightweight mobile object recognition,
ICIP14(3426-3428)
IEEE DOI
1502
Cameras
CEDD (Color and Edge Directivity Descriptor).
BibRef
Larsson, M.[Mĺns],
Alvén, J.[Jennifer],
Kahl, F.[Fredrik],
Max-Margin Learning of Deep Structured Models for Semantic Segmentation,
SCIA17(II: 28-40).
Springer DOI
1706
BibRef
Derue, F.X.[François-Xavier],
Dahmane, M.[Mohamed],
Lalonde, M.[Marc],
Foucher, S.[Samuel],
Exploiting Semantic Segmentation for Robust Camera Motion
Classification,
ICIAR17(173-181).
Springer DOI
1706
BibRef
Namin, S.R.,
Alvarez, J.M.,
Petersson, L.,
2D-3D semantic segmentation using cardinality as higher-order loss,
ICPR16(3775-3780)
IEEE DOI
1705
Image edge detection, Image segmentation, Labeling, Sensors,
Three-dimensional displays, Training, Two, dimensional, displays
BibRef
Wang, H.L.[Hui-Ling],
Raiko, T.[Tapani],
Lensu, L.[Lasse],
Wang, T.H.[Ting-Huai],
Karhunen, J.[Juha],
Semi-supervised Domain Adaptation for Weakly Labeled Semantic Video
Object Segmentation,
ACCV16(I: 163-179).
Springer DOI
1704
BibRef
Audebert, N.[Nicolas],
Le Saux, B.[Bertrand],
Lefčvre, S.[Sébastien],
Joint Learning from Earth Observation and OpenStreetMap Data to Get
Faster Better Semantic Maps,
EarthVision17(1552-1560)
IEEE DOI
1709
BibRef
Earlier:
Semantic Segmentation of Earth Observation Data Using Multimodal and
Multi-scale Deep Networks,
ACCV16(I: 180-196).
Springer DOI
1704
Buildings, Labeling, Optical imaging, Roads, Semantics, Sensors, Training
BibRef
Huang, Q.[Qin],
Xia, C.Y.[Chun-Yang],
Zheng, W.[Wenchao],
Song, Y.H.[Yu-Hang],
Xu, H.[Hao],
Kuo, C.C.J.[C.C. Jay],
Object Boundary Guided Semantic Segmentation,
ACCV16(I: 197-212).
Springer DOI
1704
BibRef
Hazirbas, C.[Caner],
Ma, L.[Lingni],
Domokos, C.[Csaba],
Cremers, D.[Daniel],
FuseNet: Incorporating Depth into Semantic Segmentation via
Fusion-Based CNN Architecture,
ACCV16(I: 213-228).
Springer DOI
1704
BibRef
Bouachir, W.,
Torabi, A.,
Bilodeau, G.A.,
Blais, P.,
A bag of words approach for semantic segmentation of monitored scenes,
ISIVC16(88-93)
IEEE DOI
1704
Bayes methods
BibRef
Souly, N.[Nasim],
Shah, M.[Mubarak],
Scene Labeling Using Sparse Precision Matrix,
CVPR16(3650-3658)
IEEE DOI
1612
BibRef
Xu, C.,
Corso, J.J.[Jason J.],
Actor-Action Semantic Segmentation with Grouping Process Models,
CVPR16(3083-3092)
IEEE DOI
1612
BibRef
Hong, S.,
Oh, J.,
Lee, H.,
Han, B.,
Learning Transferrable Knowledge for Semantic Segmentation with Deep
Convolutional Neural Network,
CVPR16(3204-3212)
IEEE DOI
1612
BibRef
Lin, G.,
Shen, C.,
van den Hengel, A.J.[Anton J.],
Reid, I.D.,
Efficient Piecewise Training of Deep Structured Models for Semantic
Segmentation,
CVPR16(3194-3203)
IEEE DOI
1612
BibRef
Gao, Y.[Yang],
Beijbom, O.[Oscar],
Zhang, N.[Ning],
Darrell, T.J.[Trevor J.],
Compact Bilinear Pooling,
CVPR16(317-326)
IEEE DOI
1612
BibRef
Qi, G.J.[Guo-Jun],
Hierarchically Gated Deep Networks for Semantic Segmentation,
CVPR16(2267-2275)
IEEE DOI
1612
BibRef
Li, K.[Ke],
Malik, J.[Jitendra],
Amodal Instance Segmentation,
ECCV16(II: 677-693).
Springer DOI
1611
predict the region encompassing both visible and occluded parts of each object.
BibRef
Bearman, A.[Amy],
Russakovsky, O.[Olga],
Ferrari, V.[Vittorio],
Fei-Fei, L.[Li],
What's the Point: Semantic Segmentation with Point Supervision,
ECCV16(VII: 549-565).
Springer DOI
1611
BibRef
Shimoda, W.[Wataru],
Yanai, K.[Keiji],
Distinct Class-Specific Saliency Maps for Weakly Supervised Semantic
Segmentation,
ECCV16(IV: 218-234).
Springer DOI
1611
BibRef
Saleh, F.[Fatemehsadat],
Aliakbarian, M.S.[Mohammad Sadegh],
Salzmann, M.[Mathieu],
Petersson, L.[Lars],
Gould, S.[Stephen],
Alvarez, J.M.[Jose M.],
Built-in Foreground/Background Prior for Weakly-Supervised Semantic
Segmentation,
ECCV16(VIII: 413-432).
Springer DOI
1611
BibRef
Ghiasi, G.[Golnaz],
Fowlkes, C.C.[Charless C.],
Laplacian Pyramid Reconstruction and Refinement for Semantic
Segmentation,
ECCV16(III: 519-534).
Springer DOI
1611
BibRef
Fourure, D.[Damien],
Emonet, R.[Rémi],
Fromont, E.[Elisa],
Muselet, D.[Damien],
Trémeau, A.[Alain],
Wolf, C.[Christian],
Semantic Segmentation via Multi-task, Multi-domain Learning,
SSSPR16(333-343).
Springer DOI
1611
BibRef
Krapac, J.[Josip],
egvic, S.[Sinia],
Weakly-Supervised Semantic Segmentation by Redistributing Region Scores
Back to the Pixels,
GCPR16(377-388).
Springer DOI
1611
BibRef
Kreo, I.[Ivan],
Cauevic, D.[Denis],
Krapac, J.[Josip],
egvic, S.[Sinia],
Convolutional Scale Invariance for Semantic Segmentation,
GCPR16(64-75).
Springer DOI
1611
BibRef
Xing, F.Z.,
Cambria, E.,
Huang, W.B.,
Xu, Y.,
Weakly supervised semantic segmentation with superpixel embedding,
ICIP16(1269-1273)
IEEE DOI
1610
Context
BibRef
Tarashima, S.,
Pan, J.,
Irie, G.,
Kurozumi, T.,
Kinebuchi, T.,
Joint object discovery and segmentation with image-wise
reconstruction error,
ICIP16(849-853)
IEEE DOI
1610
Airplanes
BibRef
Zhou, H.,
Zhang, J.[Jun],
Lei, J.[Jun],
Li, S.[Shuohao],
Tu, D.[Dan],
Image semantic segmentation based on FCN-CRF model,
ICIVC16(9-14)
IEEE DOI
1610
feature extraction
BibRef
Li, W.[Weihao],
Yang, M.Y.[Michael Ying],
Efficient Semantic Segmentation Of Man-made Scenes Using
Fully-connected Conditional Random Field,
ISPRS16(B3: 633-640).
DOI Link
1610
BibRef
Tian, Q.,
Li, B.,
Simultaneous semantic segmentation of a set of partially labeled
images,
WACV16(1-9)
IEEE DOI
1606
Computer science
BibRef
Najafi, M.[Mohammad],
Namin, S.T.[Sarah Taghavi],
Salzmann, M.[Mathieu],
Petersson, L.[Lars],
Sample and Filter: Nonparametric Scene Parsing via Efficient
Filtering,
CVPR16(607-615)
IEEE DOI
1612
BibRef
Earlier: A2, A1, A3, A4:
Cutting Edge: Soft Correspondences in Multimodal Scene Parsing,
ICCV15(1188-1196)
IEEE DOI
1602
Feature extraction. combine modalities.
BibRef
Qi, X.J.[Xiao-Juan],
Liu, Z.Z.[Zheng-Zhe],
Shi, J.P.[Jian-Ping],
Zhao, H.S.[Heng-Shuang],
Jia, J.Y.[Jia-Ya],
Augmented Feedback in Semantic Segmentation Under Image Level
Supervision,
ECCV16(VIII: 90-105).
Springer DOI
1611
BibRef
Qi, X.J.[Xiao-Juan],
Shi, J.P.[Jian-Ping],
Liu, S.,
Liao, R.,
Jia, J.Y.[Jia-Ya],
Semantic Segmentation with Object Clique Potential,
ICCV15(2587-2595)
IEEE DOI
1602
Computational modeling
BibRef
Varas, D.,
Alfaro, M.,
Marques, F.,
Multiresolution Hierarchy Co-Clustering for Semantic Segmentation in
Sequences with Small Variations,
ICCV15(4579-4587)
IEEE DOI
1602
Image resolution
BibRef
Deng, Z.,
Todorovic, S.,
Latecki, L.J.,
Semantic Segmentation of RGBD Images with Mutex Constraints,
ICCV15(1733-1741)
IEEE DOI
1602
Computational modeling
BibRef
Pourian, N.,
Karthikeyan, S.,
Manjunath, B.S.,
Weakly Supervised Graph Based Semantic Segmentation by Learning
Communities of Image-Parts,
ICCV15(1359-1367)
IEEE DOI
1602
Correlation
BibRef
Caesar, H.[Holger],
Uijlings, J.[Jasper],
Ferrari, V.[Vittorio],
Region-Based Semantic Segmentation with End-to-End Training,
ECCV16(I: 381-397).
Springer DOI
1611
BibRef
Earlier:
Joint Calibration for Semantic Segmentation,
BMVC15(xx-yy).
DOI Link
1601
BibRef
Srivatsa, R.S.[R. Sai],
Babu, R.V.[R. Venkatesh],
Salient object detection via objectness measure,
ICIP15(4481-4485)
IEEE DOI
1512
Image Saliency; Image Segmentation; Objectness Proposals; Superpixels
BibRef
Ran, L.Y.[Ling-Yan],
Zhang, Y.N.[Yan-Ning],
Hua, G.[Gang],
CANNET: Context aware nonlocal convolutional networks for semantic
image segmentation,
ICIP15(4669-4673)
IEEE DOI
1512
Semantic segmentation; context aware module; sparse kernel
BibRef
Ventura, C.[Carles],
Giro-i-Nieto, X.[Xavier],
Vilaplana, V.[Veronica],
McGuinness, K.[Kevin],
Marques, F.[Ferran],
O'Connor, N.E.[Noel E.],
Improving spatial codification in semantic segmentation,
ICIP15(3605-3609)
IEEE DOI
1512
Object recognition
BibRef
Zhao, N.[Nan],
Banerjee, C.[Chaity],
Liu, X.W.[Xiu-Wen],
Nano-scale context-sensitive semantic segmentation,
ICIP15(3062-3066)
IEEE DOI
1512
Nano-scale; context-sensitive; microvilli; semantic segmentation; spike
BibRef
Pieck, M.A.R.[Martin A.R.],
van der Sommen, F.[Fons],
Zinger, S.[Svitlana],
de With, P.H.N.[Peter H.N.],
Real-time semantic context labeling for image understanding,
ICIP15(3180-3184)
IEEE DOI
1512
Context classification; Gabor filtering; SVM; Segmentation
BibRef
Dai, J.F.[Ji-Feng],
He, K.M.[Kai-Ming],
Sun, J.[Jian],
Convolutional feature masking for joint object and stuff segmentation,
CVPR15(3992-4000)
IEEE DOI
1510
BibRef
Zhang, Y.[Yu],
Chen, X.W.[Xiao-Wu],
Li, J.[Jia],
Wang, C.[Chen],
Xia, C.Q.[Chang-Qun],
Semantic object segmentation via detection in weakly labeled video,
CVPR15(3641-3649)
IEEE DOI
1510
BibRef
Mostajabi, M.[Mohammadreza],
Yadollahpour, P.[Payman],
Shakhnarovich, G.[Gregory],
Feedforward semantic segmentation with zoom-out features,
CVPR15(3376-3385)
IEEE DOI
1510
BibRef
Zhang, W.[Wei],
Zeng, S.[Sheng],
Wang, D.[Dequan],
Xue, X.Y.[Xiang-Yang],
Weakly supervised semantic segmentation for social images,
CVPR15(2718-2726)
IEEE DOI
1510
BibRef
Ardeshir, S.[Shervin],
Collins-Sibley, K.M.[Kofi Malcolm],
Shah, M.[Mubarak],
Geo-semantic segmentation,
CVPR15(2792-2799)
IEEE DOI
1510
BibRef
Sharma, A.[Abhishek],
Tuzel, O.[Oncel],
Jacobs, D.W.[David W.],
Deep hierarchical parsing for semantic segmentation,
CVPR15(530-538)
IEEE DOI
1510
BibRef
Samrouth, K.,
Deforges, O.,
Liu, Y.[Yi],
Falou, W.,
Khalil, M.,
A joint 3D image semantic segmentation and scalable coding scheme
with ROI approach,
VCIP14(270-273)
IEEE DOI
1504
data compression
BibRef
Namin, S.T.[Sarah Taghavi],
Najafi, M.[Mohammad],
Salzmann, M.[Mathieu],
Petersson, L.[Lars],
A Multi-modal Graphical Model for Scene Analysis,
WACV15(1006-1013)
IEEE DOI
1503
Graphical models
2D-3D data. Semantic segmentation.
BibRef
Zhu, G.[Gao],
Ming, Y.S.[Yan-Sheng],
Li, H.D.[Hong-Dong],
Object category detection by incorporating mid-level grouping cues,
ICIP14(1604-1608)
IEEE DOI
1502
Computer vision
BibRef
Bassiouny, A.[Ahmed],
El-Saban, M.[Motaz],
Semantic segmentation as image representation for scene recognition,
ICIP14(981-985)
IEEE DOI
1502
Accuracy
BibRef
Tegen, A.[Agnes],
Weegar, R.[Rebecka],
Hammarlund, L.[Linus],
Oskarsson, M.[Magnus],
Jiang, F.Y.[Fang-Yuan],
Medved, D.[Dennis],
Nugues, P.[Pierre],
Astrom, K.[Kalle],
Image Segmentation and Labeling Using Free-Form Semantic Annotation,
ICPR14(2281-2286)
IEEE DOI
1412
Context
BibRef
Kroeger, T.[Thorben],
Kappes, J.H.[Jörg H.],
Beier, T.[Thorsten],
Koethe, U.[Ullrich],
Hamprecht, F.A.[Fred A.],
Asymmetric Cuts: Joint Image Labeling and Partitioning,
GCPR14(199-211).
Springer DOI
1411
BibRef
Mustikovela, S.K.[Siva Karthik],
Yang, M.Y.[Michael Ying],
Rother, C.[Carsten],
Can Ground Truth Label Propagation from Video Help Semantic
Segmentation?,
VSeg16(III: 804-820).
Springer DOI
1611
BibRef
Zheng, S.[Shuai],
Cheng, M.M.[Ming-Ming],
Warrell, J.[Jonathan],
Sturgess, P.[Paul],
Vineet, V.[Vibhav],
Rother, C.[Carsten],
Torr, P.H.S.[Philip H.S.],
Dense Semantic Image Segmentation with Objects and Attributes,
CVPR14(3214-3221)
IEEE DOI
1409
Attributes; Image Segmentation; Object Recognition; Scene Understanding
BibRef
Ladicky, L.[Lubor],
Shi, J.B.[Jian-Bo],
Pollefeys, M.[Marc],
Pulling Things out of Perspective,
CVPR14(89-96)
IEEE DOI
1409
Depth Estimation; Object Recognition; Semantic Segmentation
BibRef
Chang, F.J.[Feng-Ju],
Lin, Y.Y.[Yen-Yu],
Hsu, K.J.[Kuang-Jui],
Multiple Structured-Instance Learning for Semantic Segmentation with
Uncertain Training Data,
CVPR14(360-367)
IEEE DOI
1409
BibRef
Mottaghi, R.[Roozbeh],
Chen, X.J.[Xian-Jie],
Liu, X.B.[Xiao-Bai],
Cho, N.G.[Nam-Gyu],
Lee, S.W.[Seong-Whan],
Fidler, S.[Sanja],
Urtasun, R.[Raquel],
Yuille, A.L.[Alan L.],
The Role of Context for Object Detection and Semantic Segmentation in
the Wild,
CVPR14(891-898)
IEEE DOI
1409
BibRef
Isola, P.[Phillip],
Zoran, D.[Daniel],
Krishnan, D.[Dilip],
Adelson, E.H.[Edward H.],
Crisp Boundary Detection Using Pointwise Mutual Information,
ECCV14(III: 799-814).
Springer DOI
1408
Between semantic objects.
BibRef
Li, Z.Y.[Zhen-Yang],
Gavves, E.[Efstratios],
Mensink, T.[Thomas],
Snoek, C.G.M.[Cees G.M.],
Attributes Make Sense on Segmented Objects,
ECCV14(VI: 350-365).
Springer DOI
1408
BibRef
Dong, J.[Jian],
Chen, Q.A.[Qi-Ang],
Yan, S.C.[Shui-Cheng],
Yuille, A.L.[Alan L.],
Towards Unified Object Detection and Semantic Segmentation,
ECCV14(V: 299-314).
Springer DOI
1408
Joint detect and segment.
BibRef
Kundu, A.[Abhijit],
Li, Y.[Yin],
Dellaert, F.[Frank],
Li, F.X.[Fu-Xin],
Rehg, J.M.[James M.],
Joint Semantic Segmentation and 3D Reconstruction from Monocular Video,
ECCV14(VI: 703-718).
Springer DOI
1408
BibRef
Inagaki, S.[Shun],
Imiya, A.[Atsushi],
Semantic Segmentation of Low Frame-Rate Image Sequence Using
Statistical Properties of Optical Flow for Remote Exploration,
ISVC14(I: 477-488).
Springer DOI
1501
BibRef
And:
Statistical Method for Semantic Segmentation of Dominant Plane from
Remote Exploration Image Sequence,
SSSPR14(263-272).
Springer DOI
1408
BibRef
Riemenschneider, H.[Hayko],
Bódis-Szomorú, A.[András],
Weissenberg, J.[Julien],
Van Gool, L.J.[Luc J.],
Learning Where to Classify in Multi-view Semantic Segmentation,
ECCV14(V: 516-532).
Springer DOI
1408
BibRef
Tao, L.L.[Ling-Ling],
Porikli, F.M.[Fatih M.],
Vidal, R.[René],
Sparse Dictionaries for Semantic Segmentation,
ECCV14(V: 549-564).
Springer DOI
1408
BibRef
Zhu, S.Q.[Sheng-Qi],
Yang, Y.Q.[Yi-Qing],
Zhang, L.[Li],
From Label Maps to Label Strokes:
Semantic Segmentation for Street Scenes from Incomplete Training Data,
CVCP13(468-475)
IEEE DOI
1403
data handling
BibRef
Baek, S.[Seung_Ryul],
Lim, T.[Taegyu],
Heo, Y.S.[Yong Seok],
Park, S.B.[Sung-Bum],
Kwak, H.[Hantak],
Shim, W.[Woosung],
Superpixel Coherency and Uncertainty Models for Semantic Segmentation,
PGMs13(275-282)
IEEE DOI
1403
computational complexity
BibRef
Roig, G.[Gemma],
Boix, X.[Xavier],
de Nijs, R.[Roderick],
Ramos, S.[Sebastian],
Kuhnlenz, K.[Koljia],
Van Gool, L.J.[Luc J.],
Active MAP Inference in CRFs for Efficient Semantic Segmentation,
ICCV13(2312-2319)
IEEE DOI
1403
using expensive features.
BibRef
Barron, J.T.[Jonathan T.],
Biggin, M.D.[Mark D.],
Arbelaez, P.[Pablo],
Knowles, D.W.[David W.],
Keranen, S.V.E.[Soile V.E.],
Malik, J.[Jitendra],
Volumetric Semantic Segmentation Using Pyramid Context Features,
ICCV13(3448-3455)
IEEE DOI
1403
BibRef
Singh, G.[Gautam],
Kosecka, J.[Jana],
Introspective semantic segmentation,
WACV14(714-720)
IEEE DOI
1406
BibRef
Earlier:
Nonparametric Scene Parsing with Adaptive Feature Relevance and
Semantic Context,
CVPR13(3151-3157)
IEEE DOI
1309
feature relevance; scene understanding; semantic segmentation.
Small patches, simple features.
Accuracy.
BibRef
Csurka, G.[Gabriela],
Larlus, D.[Diane],
Perronnin, F.[Florent],
What is a good evaluation measure for semantic segmentation?,
BMVC13(xx-yy).
DOI Link
1402
BibRef
Li, F.X.[Fu-Xin],
Carreira, J.[Joao],
Lebanon, G.[Guy],
Sminchisescu, C.[Cristian],
Composite Statistical Inference for Semantic Segmentation,
CVPR13(3302-3309)
IEEE DOI
1309
composite likelihood
BibRef
Ying, P.[Peng],
Liu, J.[Jing],
Lu, H.Q.[Han-Qing],
Dictionary learning based superpixels clustering for
weakly-supervised semantic segmentation,
ICIP15(4258-4262)
IEEE DOI
1512
Weak supervision;dictionary learning;semantic segmentation
BibRef
Liu, Y.[Yang],
Liu, J.[Jing],
Li, Z.[Zechao],
Tang, J.H.[Jin-Hui],
Lu, H.Q.[Han-Qing],
Weakly-Supervised Dual Clustering for Image Semantic Segmentation,
CVPR13(2075-2082)
IEEE DOI
1309
Image Semantic Segmentation; Weakly-Supervised
BibRef
Zou, W.B.[Wen-Bin],
Kpalma, K.[Kidiyo],
Ronsin, J.[Joseph],
Semantic image segmentation using region bank,
ICPR12(922-925).
WWW Link.
1302
BibRef
And:
Semantic segmentation via sparse coding over hierarchical regions,
ICIP12(2577-2580).
IEEE DOI
1302
Hierarchical region segmentation, sparse coding of regions for recognition.
BibRef
Fröhlich, B.[Björn],
Rodner, E.[Erik],
Denzler, J.[Joachim],
Semantic Segmentation with Millions of Features:
Integrating Multiple Cues in a Combined Random Forest Approach,
ACCV12(I:218-231).
Springer DOI
1304
BibRef
And:
As Time Goes by:
Anytime Semantic Segmentation with Iterative Context Forests,
DAGM12(1-10).
Springer DOI
1209
BibRef
Hariharan, B.[Bharath],
Zitnick, C.L.[C. Lawrence],
Dollar, P.[Piotr],
Detecting Objects Using Deformation Dictionaries,
CVPR14(1995-2002)
IEEE DOI
1409
BibRef
Li, K.[Ke],
Hariharan, B.[Bharath],
Malik, J.[Jitendra],
Iterative Instance Segmentation,
CVPR16(3659-3667)
IEEE DOI
1612
BibRef
Lin, D.[Dahua],
Fidler, S.[Sanja],
Urtasun, R.[Raquel],
Holistic Scene Understanding for 3D Object Detection with RGBD
Cameras,
ICCV13(1417-1424)
IEEE DOI
1403
BibRef
Fidler, S.[Sanja],
Mottaghi, R.[Roozbeh],
Yuille, A.L.[Alan L.],
Urtasun, R.[Raquel],
Bottom-Up Segmentation for Top-Down Detection,
CVPR13(3294-3301)
IEEE DOI
1309
Object detection; object class recognition; object segmentation
BibRef
Yao, J.[Jian],
Fidler, S.[Sanja],
Urtasun, R.[Raquel],
Describing the scene as a whole: Joint object detection, scene
classification and semantic segmentation,
CVPR12(702-709).
IEEE DOI
1208
BibRef
Vezhnevets, A.[Alexander],
Ferrari, V.[Vittorio],
Associative Embeddings for Large-Scale Knowledge Transfer with
Self-Assessment,
CVPR14(1987-1994)
IEEE DOI
1409
ImageNet
BibRef
Vezhnevets, A.[Alexander],
Buhmann, J.M.[Joachim M.],
Ferrari, V.[Vittorio],
Active learning for semantic segmentation with expected change,
CVPR12(3162-3169).
IEEE DOI
1208
BibRef
Vezhnevets, A.[Alexander],
Ferrari, V.[Vittorio],
Buhmann, J.M.[Joachim M.],
Weakly supervised structured output learning for semantic segmentation,
CVPR12(845-852).
IEEE DOI
1208
BibRef
Earlier:
Weakly supervised semantic segmentation with a multi-image model,
ICCV11(643-650).
IEEE DOI
1201
BibRef
Vezhnevets, A.[Alexander],
Buhmann, J.M.[Joachim M.],
Towards weakly supervised semantic segmentation by means of multiple
instance and multitask learning,
CVPR10(3249-3256).
IEEE DOI
1006
See also Agnostic Domain Adaptation.
BibRef
Dunlop, H.[Heather],
Scene classification of images and video via semantic segmentation,
POCV10(72-79).
IEEE DOI
1006
BibRef
Pohlen, T.,
Badami, I.,
Mathias, M.,
Leibe, B.[Bastian],
Semantic segmentation of modular furniture,
WACV16(1-9)
IEEE DOI
1606
Face
BibRef
Floros, G.[Georgios],
Leibe, B.[Bastian],
Joint 2D-3D temporally consistent semantic segmentation of street
scenes,
CVPR12(2823-2830).
IEEE DOI
1208
BibRef
Floros, G.[Georgios],
Rematas, K.[Konstantinos],
Leibe, B.[Bastian],
Multi-Class Image Labeling with Top-Down Segmentation and Generalized
Robust P^N Potentials,
BMVC11(xx-yy).
HTML Version.
1110
BibRef
Passino, G.[Giuseppe],
Patras, I.[Ioannis],
Izquierdo, E.[Ebroul],
Pyramidal Model for Image Semantic Segmentation,
ICPR10(1554-1557).
IEEE DOI
1008
BibRef
Micusik, B.[Branislav],
Kosecka, J.[Jana],
Semantic segmentation of street scenes by superpixel co-occurrence and
3D geometry,
ObjectEvent09(625-632).
IEEE DOI
0910
identify as one of a few common object/background classes.
BibRef
Schnitman, Y.[Yaar],
Caspi, Y.[Yaron],
Cohen-Or, D.[Daniel],
Lischinski, D.[Dani],
Inducing Semantic Segmentation from an Example,
ACCV06(II:373-384).
Springer DOI
0601
BibRef
Zhang, H.H.[Hong-Hui],
Xiao, J.X.[Jian-Xiong],
Quan, L.[Long],
Supervised Label Transfer for Semantic Segmentation of Street Scenes,
ECCV10(V: 561-574).
Springer DOI
1009
Set of labelled images of street scenes. Recognition is by matching
at image level, then using the given lables.
BibRef
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Fua and Leclerc Guided Segmentation Papers .