Upload File

destnet: densely fused spatial transformer networks...

  • Home
  • Documents
  • DeSTNet: Densely Fused Spatial Transformer Networks ...bmvc2018.org/contents/supplementary/pdf/0552_supp.pdfInverse compositional spatial transformer networks. In Proceedings of IEEE
4
ANNUNZIATA, SAGONAS, CALÌ: DENSELY FUSED SPATIAL TRANSFORMER NETWORKS 1 DeSTNet: Densely Fused Spatial Transformer Networks – Supplementary Material Roberto Annunziata roberto.annunziata@onfido.com Christos Sagonas christos.sagonas@onfido.com Jacques Calì jacques.cali@onfido.com Onfido Research 3 Finsbury Avenue London, UK 1 Additional Results for Section 4.1 Figures 1 and 2 show additional alignment results obtained by the proposed DeSTNet model on GTSRB [3] and MNIST [1] datasets, respectively. Figure 1: Sample alignment results produced by the DeSTNet-4 model on the GTSRB dataset. Row 1: input image. Rows 2-4: results produced after each one of the four lev- els. 2 Architectures and Additional Results for Section 4.2 Table 1 reports the architectures of the compared CSTN-5 [2] and DeSTNet-5 models for the task of planar image alignment. c 2018. The copyright of this document resides with its authors. It may be distributed unchanged freely in print or electronic forms.

Upload: others

Post on 16-Oct-2020

3 views

Category:

Documents


0 download

Report

TRANSCRIPT

Page 1: DeSTNet: Densely Fused Spatial Transformer Networks ...bmvc2018.org/contents/supplementary/pdf/0552_supp.pdfInverse compositional spatial transformer networks. In Proceedings of IEEE

ANNUNZIATA, SAGONAS, CALÌ: DENSELY FUSED SPATIAL TRANSFORMER NETWORKS1

DeSTNet: Densely Fused SpatialTransformer Networks – SupplementaryMaterial

Roberto [email protected]

Christos [email protected]

Jacques Calì[email protected]

Onfido Research3 Finsbury AvenueLondon, UK

1 Additional Results for Section 4.1Figures 1 and 2 show additional alignment results obtained by the proposed DeSTNet modelon GTSRB [3] and MNIST [1] datasets, respectively.

Figure 1: Sample alignment results produced by the DeSTNet-4 model on the GTSRBdataset. Row 1: input image. Rows 2-4: results produced after each one of the four lev-els.

2 Architectures and Additional Results for Section 4.2Table 1 reports the architectures of the compared CSTN-5 [2] and DeSTNet-5 models forthe task of planar image alignment.

c© 2018. The copyright of this document resides with its authors.It may be distributed unchanged freely in print or electronic forms.

Citation
Citation
{Stallkamp, Schlipsing, Salmen, and Igel} 2011
Citation
Citation
{LeCun} 1998
Citation
Citation
{Lin and Lucey} 2017
Page 2: DeSTNet: Densely Fused Spatial Transformer Networks ...bmvc2018.org/contents/supplementary/pdf/0552_supp.pdfInverse compositional spatial transformer networks. In Proceedings of IEEE

2ANNUNZIATA, SAGONAS, CALÌ: DENSELY FUSED SPATIAL TRANSFORMER NETWORKS

Figure 2: Sample alignment results produced by the DeSTNet-4 model on the MNISTdataset. Row 1: input image. Rows 2-4: results produced after each one of the four lev-els.

Model ArchitectureCSTN-5 [ conv3-64(2) | conv3-128(2) | conv3-256(2) | FC8 ]×5

DeSTNet-5 F{[ conv3-64(2) | conv3-128(2) | conv3-256(2) | FC8 ]×5}Table 1: Architectures utilized by CSTN-5 and DeSTNet-5. convD1-D2(D3): convolutionlayer with D1×D1 receptive field, D2 channels and D3 stride, FC: fully connected layer, F :fusion operation used in DeSTNet for fusing the parameters updates.

Additional qualitative results obtained by the CSTN-5 and DeSTNet-5 on the IDocDBdatabase are provided in Figs. 3, 4. These results confirm that the proposed DeSTNet ismore accurate than the CSTN and show better robustness against partial-occlusions, clutterand low-light conditions.

References[1] Yann LeCun. The mnist database of handwritten digits. http://yann. lecun.

com/exdb/mnist/, 1998.

[2] Chen-Hsuan Lin and Simon Lucey. Inverse compositional spatial transformer networks.In Proceedings of IEEE International Conference on Computer Vision & Pattern Recog-nition (CVPR), pages 2568–2576, 2017.

[3] Johannes Stallkamp, Marc Schlipsing, Jan Salmen, and Christian Igel. The german traf-fic sign recognition benchmark: a multi-class classification competition. In Proceedingsof International Joint Conference on Neural Networks (IJCNN), pages 1453–1460, 2011.

Page 3: DeSTNet: Densely Fused Spatial Transformer Networks ...bmvc2018.org/contents/supplementary/pdf/0552_supp.pdfInverse compositional spatial transformer networks. In Proceedings of IEEE

ANNUNZIATA, SAGONAS, CALÌ: DENSELY FUSED SPATIAL TRANSFORMER NETWORKS3

Figure 3: Qualitative results obtained with CSTN-5 and DeSTNet-5 on IDocDB. (Resultsare best viewed on a digital screen)

Page 4: DeSTNet: Densely Fused Spatial Transformer Networks ...bmvc2018.org/contents/supplementary/pdf/0552_supp.pdfInverse compositional spatial transformer networks. In Proceedings of IEEE

4ANNUNZIATA, SAGONAS, CALÌ: DENSELY FUSED SPATIAL TRANSFORMER NETWORKS

Figure 4: Qualitative results obtained with CSTN-5 and DeSTNet-5 on IDocDB. (Resultsare best viewed on a digital screen)


Perspective Transformer Nets: Learning Single-View 3D ...Similar to the spatial transformer network introduced in [1], we propose a 2-step procedure: (1) performing dense sampling

Transformer,Current Transformer & Potential Transformer

Spatial Transformer Networks - Duke University · of the spatial transformer, after applying the transformation. (d) The classification prediction produced by the subsequent fully-connected

Spatial Temporal Transformer Network for Skeleton-based ...Spatial Temporal Transformer Network for Skeleton-based Action Recognition Chiara Plizzari Politecnico di Milano, Italy [email protected]

Classification based Grasp Detection using Spatial ... · Classification based Grasp Detection using Spatial Transformer Network ... [12], [13]. The other is regression based approach

Spatial transformer networks

Dry Resin Transformer , Control Transformer

Electrical Machines LSEGG216A 9080V. Content of Course Transformer Construction Transformer Operation Transformer Losses, Efficiency & Cooling Transformer

Spatial Fusion GAN for Image Synthesisopenaccess.thecvf.com/content_CVPR_2019/papers/Zhan...reported in recent years for geometric realsim, e.g., [21] presents a spatial transformer

Spatial Chirp-Z Transformer Networks - UCLouvain...Spatial Chirp-Z Transformer Networks Jonas Degrave, Sander Dieleman, Joni Dambre and Francis wy els Electric and Information Systems

Smart transformer and Analog transformer

April 2009 Oracle Spatial User Conference€¦ · • Transformer Asset Management Lifecycle Management • Acquisition – Stores Entry • Deployment • Inspection • Refurbishment

Jordan Transformer Mobile Transformer References Transformer...Jordan Transformer Mobile Transformer References 14 MVA 69 - 13.2Y Westinghouse with new Reinhausen LTC ... 44.5 MVA

Spatial Transformer Networkspapers.nips.cc/paper/5854-spatial-transformer-networks.pdf · Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu

Learning to Write Anywhere with Spatial Transformer Image ...autoware-eu.org/documents/publications/icra2019.pdf · The Deep Recurrent Attentive Writer (DRAW) network [?] combined

Topic 1 : Magnetic Concept and Transformer Magnetism Magnetic Circuit Transformer Construction Transformer equivalent circuit Transformer test, efficiency

Universal Correspondence Networkmkchandraker/pdf/nips16_ucn.pdf · loss that allows faster training and testing and propose a convolutional spatial transformer for local patch normalization

SPECTRAL GRAPH TRANSFORMER NETWORKS FOR ......our spatial transformer network. The model first applies a sequence of two point-wise lin-ear transformation layers on U V sub, each

Comparator Networks - University of Oxfordvgg/publications/2018/Xie18a/xie18a.pdf · tention, [26] proposed the Spatial Transformer Networks (STNs) that allows to learn whichever

Current Transformer Selection Chart Current Transformer Selection Chart SOLID CORE CURRENT TRANSFORMER - CABLE TYPE SOLID CORE CURRENT TRANSFORMER - BUSBAR TYPE Current Transformer

SPECIALTY TRANSFORMER COMPONENTS LLC. Zenith Transformer … BTX vakves Brochure … · Transformer Components Transformer Radiators Transformer Valves Transformer Cooling Fans Breathers,

A Guided Spatial Transformer Network for Histology Cell ... · M. Aubreville, M. Krappmann, C. Bertram, R. Klopfleisch & A. Maier / A Guided Spatial Transformer Network for Histology

Spatial Transformer Networks - NeurIPS...(a) (c) 7 (d) 5 6 (b) 9 4 Figure 1: The result of using a spatial transformer as the first layer of a fully-connected network trained for

Spatial Temporal Transformer Network for Skeleton-based

Reinforcement Learning based Spatial Transformer GAN for ......Further, Spatial Transformer Networks (STNs) [5] are one way to incorporate learnable image warping withing a deep learning

Volumetric Spatial Transformer Network for Object …Volumetric Spatial Transformer Network for Object Recognition Min Liu, Yifei Shi, Lintao Zheng, Yueshan Xiong, Kai Xu National

Recurrent 3D attentional networks for end-to-end active ...2.5 Spatial transformer networks A spatial transformer is a differentiable sampling-based network, which gives neural networks

DESIGN OF TRANSFORMER · DESIGN OF TRANSFORMER. Classification of transformer Depending upon the type of construction used: ... transformer and small power transformer for moderate

Transformer. Spiral Inductor Calculator A transformer

Exemplar-Supported Generative Reproduction for Class ...bmvc2018.org/contents/supplementary/pdf/0325_supp.pdf · [1]Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin,

DeSTNet: Densely Fused Spatial Transformer Networks · Figure 1: DeSTNet - A stack of Densely fused Spatial Transformer Networks. Arguably, one of the best known methods used to efficiently

Spatial Transformer Networks - Computer Sciencecseweb.ucsd.edu/classes/sp17/cse252C-a/CSE252C_20170522.pdf · Each transformer in the network focuses on discriminative object parts

Polar Transformer Networkskostas/mypub.dir/carlos17...is performed in a differentiable way, similar to the Spatial Transformer Networks, and the resulting polar representa-tion is

16-Transformer and Transformer Feeder Prot

Wind Transformer Step Up Transformer MQP