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image segmentation. How to acquire ground truth for semantic segmentation.
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2008
Semantic segmentation, Loss function
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Zhou, Q.[Quan],
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BANet: Boundary-Assistant Encoder-Decoder Network for Semantic
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ITS(23), No. 12, December 2022, pp. 25259-25270.
IEEE DOI
2212
Semantics, Image segmentation, Feature extraction, Convolution,
Shape, Task analysis, Decoding, Semantic segmentation, dilated-ResNet101
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Huang, Z.[Zhou],
Xiang, T.Z.[Tian-Zhu],
Chen, H.X.[Huai-Xin],
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object detection in remote sensing images,
PandRS(191), 2022, pp. 290-301.
Elsevier DOI
2208
Salient object detection, Saliency detection,
Scribble annotation, Weakly supervised, Remote sensing dataset
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Wu, D.Y.[Dong-Yue],
Guo, Z.[Zilin],
Li, A.[Aoyan],
Yu, C.Q.[Chang-Qian],
Gao, C.X.[Chang-Xin],
Sang, N.[Nong],
Conditional Boundary Loss for Semantic Segmentation,
IP(32), 2023, pp. 3717-3731.
IEEE DOI
2307
Task analysis, Semantic segmentation, Optimization, Semantics,
Training, Noise measurement, Feature extraction,
boundary
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Shi, M.[Min],
Deng, W.Z.[Wei-Zhao],
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2401
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Wang, F.[Fei],
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Context and Apparent Features Aggregation Network for Semantic
Segmentation,
ICPR22(3858-3864)
IEEE DOI
2212
Convolution, Semantic segmentation, Aggregates,
Image edge detection, Neural networks, Feature extraction, Transformers
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Sun, Z.T.[Zi-Tang],
Kamata, S.I.[Sei-Ichiro],
Wang, R.J.[Ruo-Jing],
Semantic Segmentation Refinement Using Entropy and Boundary-guided
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ICPR21(3931-3938)
IEEE DOI
2105
Monte Carlo methods, Semantics, Logic gates, Prediction algorithms,
Search problems, Entropy, Classification algorithms
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Dhingra, N.[Naina],
Chogovadze, G.[George],
Kunz, A.[Andreas],
Border-SegGCN: Improving Semantic Segmentation by Refining the Border
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GSP-CV21(865-875)
IEEE DOI
2112
Computational modeling, Semantics,
Refining, Computer architecture, Prediction algorithms
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Liu, Y.[Yahao],
Deng, J.H.[Jin-Hong],
Gao, X.C.[Xin-Chen],
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Duan, L.X.[Li-Xin],
BAPA-Net: Boundary Adaptation and Prototype Alignment for
Cross-domain Semantic Segmentation,
ICCV21(8781-8791)
IEEE DOI
2203
Image segmentation, Adaptation models, Semantics, Prototypes,
Benchmark testing, Convolutional neural networks,
grouping and shape
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Chen, L.[Liyi],
Wu, W.W.[Wei-Wei],
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ECCV20(XXVI:347-362).
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Faure, E.[Elodie],
Tougne, L.[Laure],
Semantic Segmentation Post-processing with Colorized Pairwise
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IPTA20(1-6)
IEEE DOI
2206
Image segmentation, Image color analysis, Image edge detection,
Semantics, Gray-scale, Tools, Task analysis, semantic segmentation,
deep edges
BibRef
Zhen, M.,
Wang, J.,
Zhou, L.,
Li, S.,
Shen, T.,
Shang, J.,
Fang, T.,
Quan, L.,
Joint Semantic Segmentation and Boundary Detection Using Iterative
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CVPR20(13663-13672)
IEEE DOI
2008
Pattern recognition
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Marin, D.,
He, Z.,
Vajda, P.,
Chatterjee, P.,
Tsai, S.,
Yang, F.,
Boykov, Y.Y.,
Efficient Segmentation: Learning Downsampling Near Semantic
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ICCV19(2131-2141)
IEEE DOI
2004
image sampling, image segmentation,
learning (artificial intelligence), semantic boundaries, Image resolution
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Zhu, Y.,
Tian, Y.,
Metaxas, D.,
Dollár, P.,
Semantic Amodal Segmentation,
CVPR17(3001-3009)
IEEE DOI
1711
Image edge detection, Image segmentation, Object detection,
Semantics, Tools, Visualization
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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
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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.
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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
Bergbauer, J.,
Nieuwenhuis, C.[Claudia],
Souiai, M.,
Cremers, D.[Daniel],
Proximity Priors for Variational Semantic Segmentation and
Recognition,
GMSU13(15-21)
IEEE DOI
1403
See also Midrange Geometric Interactions for Semantic Segmentation. convex programming
BibRef
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Domain Adaption for Semantic Segmentation .