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],
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
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.[Yu],
Zhou, Q.[Quan],
Liu, J.[Jia],
Xiong, J.[Jian],
Gao, G.[Guangwei],
Wu, X.F.[Xiao-Fu],
Latecki, L.J.[Longin Jan],
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 .