14.5.8.6.14 Siamese Networks

Chapter Contents (Back)
Siamese Networks. Neural Networks.

Shaham, U.[Uri], Lederman, R.R.[Roy R.],
Learning by coincidence: Siamese networks and common variable learning,
PR(74), No. 1, 2018, pp. 52-63.
Elsevier DOI 1711
Similarity learning BibRef

He, Z.[Zhi], He, D.[Dan],
Spatial-Adaptive Siamese Residual Network for Multi-/Hyperspectral Classification,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Qin, Y., Bruzzone, L., Li, B.,
Learning Discriminative Embedding for Hyperspectral Image Clustering Based on Set-to-Set and Sample-to-Sample Distances,
GeoRS(58), No. 1, January 2020, pp. 473-485.
IEEE DOI 2001
Clustering algorithms, Clustering methods, Training, Hyperspectral imaging, Computational modeling, siamese network BibRef

Mukherjee, S.[Souvick], Prasad, S.[Saurabh],
A spatial-spectral semisupervised deep learning framework using siamese networks and angular loss,
CVIU(194), 2020, pp. 102943.
Elsevier DOI 2005
Semi-supervised deep learning, Angular feature extraction, Angular softmax classification, Unsupervised pre-training, Spatial-spectral classification BibRef

Rao, M.[Mengbin], Tang, P.[Ping], Zhang, Z.[Zheng],
A Developed Siamese CNN with 3D Adaptive Spatial-Spectral Pyramid Pooling for Hyperspectral Image Classification,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Zhu, M.[Mu], Zhang, H.[Hui], Zhang, J.[Jing], Zhuo, L.[Li],
Multi-level prediction Siamese network for real-time UAV visual tracking,
IVC(103), 2020, pp. 104002.
Elsevier DOI 2011
UAV tracking, Small target, Feature fusion, Multi-level prediction BibRef

Shao, J.[Jia], Du, B.[Bo], Wu, C.[Chen], Gong, M.M.[Ming-Ming], Liu, T.L.[Tong-Liang],
HRSiam: High-Resolution Siamese Network, Towards Space-Borne Satellite Video Tracking,
IP(30), 2021, pp. 3056-3068.
IEEE DOI 2103
Satellites, Target tracking, Spatial resolution, Object tracking, Tracking, Robustness, Adaptation models, Satellite videos, gaussian mixture model BibRef

Ghosh, S.[Souvik], Ghosh, S.[Spandan], Kumar, P.[Pradeep], Scheme, E.[Erik], Roy, P.P.[Partha Pratim],
A novel spatio-temporal Siamese network for 3D signature recognition,
PRL(144), 2021, pp. 13-20.
Elsevier DOI 2103
Siamese network, Spatio-temporal relationships, CNN, LSTM, 3D signature recognition BibRef

Wang, S.D.[Shi-Dong], Ren, Y.[Yi], Parr, G.[Gerard], Guan, Y.[Yu], Shao, L.[Ling],
Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization,
GeoRS(59), No. 8, August 2021, pp. 6549-6561.
IEEE DOI 2108
Tensors, Manifolds, Feature extraction, Covariance matrices, Remote sensing, Computer architecture, Matrix decomposition, Stiefel manifold and aerial scene categorization BibRef


Du, H.[Hang], Shi, H.L.[Hai-Lin], Liu, Y.[Yuchi], Wang, J.[Jun], Lei, Z.[Zhen], Zeng, D.[Dan], Mei, T.[Tao],
Semi-Siamese Training for Shallow Face Learning,
ECCV20(IV:36-53).
Springer DOI 2011
BibRef

Zhang, L.C.[Li-Chao], Gonzalez-Garcia, A.[Abel], van de Weijer, J.[Joost], Danelljan, M.[Martin], Khan, F.S.[Fahad Shahbaz],
Learning the Model Update for Siamese Trackers,
ICCV19(4009-4018)
IEEE DOI 2004
convolutional neural nets, learning (artificial intelligence), object tracking, Siamese trackers, model update, Correlation BibRef

Roy, S.[Soumava], Harandi, M.[Mehrtash], Nock, R.[Richard], Hartley, R.I.[Richard I.],
Siamese Networks: The Tale of Two Manifolds,
ICCV19(3046-3055)
IEEE DOI 2004
Siamese networks are non-linear deep models. geometry, gradient methods, image classification, learning (artificial intelligence), neural nets, Optimization BibRef

Su, W., Hsu, C., Huang, Z., Lin, C., Cheung, G.,
Joint Pairwise Learning and Image Clustering Based on a Siamese CNN,
ICIP18(1992-1996)
IEEE DOI 1809
Feature extraction, Graphics processing units, Visualization, Computer architecture, Clustering methods, Noise measurement, convolutional neural network BibRef

Vetrova, V., Coup, S., Frank, E., Cree, M.J.,
Hidden Features: Experiments with Feature Transfer for Fine-Grained Multi-Class and One-Class Image Categorization,
IVCNZ18(1-6)
IEEE DOI 1902
Feature extraction, Task analysis, Convolutional neural networks, Training, Tuning, Support vector machines, Image recognition, Siamese networks BibRef

Feng, W.[Wu], Liu, D.[Dong],
Fine-Grained Image Recognition from Click-Through Logs Using Deep Siamese Network,
MMMod17(I: 127-138).
Springer DOI 1701
Need large scale labeled datasets for training. Dog breeds. BibRef

Vijay Kumar, B.G., Carneiro, G.[Gustavo], Reid, I.D.[Ian D.],
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions,
CVPR16(5385-5394)
IEEE DOI 1612
BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Neural Networks Applied to Specific Problems .


Last update:Oct 20, 2021 at 09:45:26