8.3.4.3.2 Encoder-Decoder Networks for Semantic Segmentation

Chapter Contents (Back)
Encoder-Decoder. See also Neural Networks for Semantic Segmentation. See also Semantic Segmentation, Label and Segment Together.

Badrinarayanan, V.[Vijay], Kendall, A.[Alex], Cipolla, R.[Roberto],
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation,
PAMI(39), No. 12, December 2017, pp. 2481-2495.
IEEE DOI 1711
Convolutional codes, Decoding, Image segmentation, Neural networks, Semantics, Training, indoor scenes, pooling, road scenes, semantic pixel-wise segmentation, upsampling BibRef

Cipolla, R.[Roberto], Gal, Y., Kendall, A.[Alex],
Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics,
CVPR18(7482-7491)
IEEE DOI 1812
Task analysis, Uncertainty, Semantics, Geometry, Image segmentation, Computational modeling BibRef

Chen, L.C.[Liang-Chieh], Papandreou, G.[George], Kokkinos, I.[Iasonas], Murphy, K.P.[Kevin P.], Yuille, A.L.[Alan L.],
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs,
PAMI(40), No. 4, April 2018, pp. 834-848.
IEEE DOI 1804
BibRef
Earlier: A2, A1, A4, A5, Only:
Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation,
ICCV15(1742-1750)
IEEE DOI 1602
convolution, feature extraction, feedforward neural nets, image segmentation, learning (artificial intelligence), semantic segmentation. Benchmark testing BibRef

Chen, L.C.[Liang-Chieh], Zhu, Y.K.[Yu-Kun], Papandreou, G.[George], Schroff, F.[Florian], Adam, H.[Hartwig],
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation,
ECCV18(VII: 833-851).
Springer DOI 1810
BibRef

Chen, L.C., Barron, J.T., Papandreou, G., Murphy, K.P., Yuille, A.L.,
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform,
CVPR16(4545-4554)
IEEE DOI 1612
BibRef

Konishi, S.[Scott], Scott Konishi, A., Yuille, A.L.,
Statistical Cues for Domain Specific Image Segmentation with Performance Analysis,
CVPR00(I: 125-132).
IEEE DOI 0005
BibRef

Singh, M.[Maheep], Govil, M.C.[Mahesh C.], Pilli, E.S.[Emmanuel S.], Vipparthi, S.K.[Santosh Kumar],
SOD-CED: salient object detection for noisy images using convolution encoder-decoder,
IET-CV(13), No. 6, September 2019, pp. 578-587.
DOI Link 1911
BibRef

Wang, D.[Dan], Hu, G.Q.[Guo-Qing], Lyu, C.Z.[Cheng-Zhi],
Multi-path connected network for medical image segmentation,
JVCIR(71), 2020, pp. 102852.
Elsevier DOI 2009
Medical image segmentation, Multi-path connections, Convolutional neural networks, Encoder-decoder structure BibRef


Zhang, J.[Jing], Xie, J.W.[Jian-Wen], Barnes, N.[Nick],
Learning Noise-aware Encoder-decoder from Noisy Labels by Alternating Back-propagation for Saliency Detection,
ECCV20(XVII:349-366).
Springer DOI 2011
BibRef

Yang, S., Zhu, W., Zhu, Y.,
Residual Encoder-Decoder Network For Deep Subspace Clustering,
ICIP20(2895-2899)
IEEE DOI 2011
unsupervised learning, subspace clustering, residual encoder-decoder network, self-expressiveness BibRef

Hoang, T.M., Zhou, J., Fan, Y.,
Image Compression with Encoder-Decoder Matched Semantic Segmentation,
CLIC20(619-623)
IEEE DOI 2008
Semantics, Image segmentation, Image coding, Conferences, Image reconstruction, Decoding, Codecs BibRef

Wang, Y., Zhou, Q., Liu, J., Xiong, J., Gao, G., Wu, X., Latecki, L.J.,
Lednet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation,
ICIP19(1860-1864)
IEEE DOI 1910
CNN, Lightweight network, Encoder-decoder network, ResNet, Real-time semantic segmentation BibRef

Choo, S., Seo, W., Jeong, D., Cho, N.I.,
Multi-scale Recurrent Encoder-Decoder Network for Dense Temporal Classification,
ICPR18(103-108)
IEEE DOI 1812
Training, Video sequences, Decoding, Computer architecture, Benchmark testing, Semantics, Image segmentation BibRef

Yang, J.[Jimei], Price, B.L.[Brian L.], Cohen, S.[Scott], Lee, H., Yang, M.H.[Ming-Hsuan],
Object Contour Detection with a Fully Convolutional Encoder-Decoder Network,
CVPR16(193-202)
IEEE DOI 1612
BibRef

Yang, J.[Jimei], Price, B.L.[Brian L.], Cohen, S.[Scott], Lin, Z.[Zhe], Yang, M.H.[Ming-Hsuan],
PatchCut: Data-driven object segmentation via local shape transfer,
CVPR15(1770-1778)
IEEE DOI 1510
BibRef

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


Last update:Nov 23, 2020 at 10:27:11