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Pattern Recognition

Overview of attention for book
Cover of 'Pattern Recognition'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Learned Collaborative Stereo Refinement
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    Chapter 2 Plane Completion and Filtering for Multi-View Stereo Reconstruction
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    Chapter 3 Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift
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    Chapter 4 3D Bird’s-Eye-View Instance Segmentation
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    Chapter 5 Classification-Specific Parts for Improving Fine-Grained Visual Categorization
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    Chapter 6 Adjustment and Calibration of Dome Port Camera Systems for Underwater Vision
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    Chapter 7 Training Auto-Encoder-Based Optimizers for Terahertz Image Reconstruction
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    Chapter 8 Joint Viewpoint and Keypoint Estimation with Real and Synthetic Data
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    Chapter 9 Non-causal Tracking by Deblatting
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    Chapter 10 Group Pruning Using a Bounded- $$\ell _p$$ ℓ p Norm for Group Gating and Regularization
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    Chapter 11 On the Estimation of the Wasserstein Distance in Generative Models
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    Chapter 12 Deep Archetypal Analysis
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    Chapter 13 Single Level Feature-to-Feature Forecasting with Deformable Convolutions
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    Chapter 14 Predicting Landscapes from Environmental Conditions Using Generative Networks
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    Chapter 15 Semi-supervised Segmentation of Salt Bodies in Seismic Images Using an Ensemble of Convolutional Neural Networks
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    Chapter 16 Entrack: A Data-Driven Maximum-Entropy Approach to Fiber Tractography
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    Chapter 17 Generative Aging of Brain MR-Images and Prediction of Alzheimer Progression
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    Chapter 18 Nonlinear Causal Link Estimation Under Hidden Confounding with an Application to Time Series Anomaly Detection
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    Chapter 19 Iris Verification with Convolutional Neural Network and Unit-Circle Layer
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    Chapter 20 SDNet: Semantically Guided Depth Estimation Network
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    Chapter 21 Object Segmentation Using Pixel-Wise Adversarial Loss
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    Chapter 22 Visual Coin-Tracking: Tracking of Planar Double-Sided Objects
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    Chapter 23 Exploiting Attention for Visual Relationship Detection
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    Chapter 24 Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice
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    Chapter 25 Achieving Generalizable Robustness of Deep Neural Networks by Stability Training
  27. Altmetric Badge
    Chapter 26 2D and 3D Segmentation of Uncertain Local Collagen Fiber Orientations in SHG Microscopy
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    Chapter 27 Points2Pix: 3D Point-Cloud to Image Translation Using Conditional GANs
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    Chapter 28 MLAttack: Fooling Semantic Segmentation Networks by Multi-layer Attacks
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    Chapter 29 Not Just a Matter of Semantics: The Relationship Between Visual and Semantic Similarity
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    Chapter 30 DynGraph: Visual Question Answering via Dynamic Scene Graphs
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    Chapter 31 Training Invertible Neural Networks as Autoencoders
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    Chapter 32 Weakly Supervised Learning of Dense Semantic Correspondences and Segmentation
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    Chapter 33 A Neural-Symbolic Architecture for Inverse Graphics Improved by Lifelong Meta-learning
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    Chapter 34 Unsupervised Multi-source Domain Adaptation Driven by Deep Adversarial Ensemble Learning
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    Chapter 35 Time-Frequency Causal Inference Uncovers Anomalous Events in Environmental Systems
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    Chapter 36 Tongue Contour Tracking in Ultrasound Images with Spatiotemporal LSTM Networks
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    Chapter 37 Localized Interactive Instance Segmentation
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    Chapter 38 Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views
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    Chapter 39 Visual Person Understanding Through Multi-task and Multi-dataset Learning
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    Chapter 40 Dynamic Classifier Chains for Multi-label Learning
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    Chapter 41 Learning 3D Semantic Reconstruction on Octrees
  43. Altmetric Badge
    Chapter 42 Learning to Disentangle Latent Physical Factors for Video Prediction
  44. Altmetric Badge
    Chapter 43 Learning to Train with Synthetic Humans
Attention for Chapter 8: Joint Viewpoint and Keypoint Estimation with Real and Synthetic Data
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
9 tweeters

Readers on

mendeley
7 Mendeley
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Chapter title
Joint Viewpoint and Keypoint Estimation with Real and Synthetic Data
Chapter number 8
Book title
Pattern Recognition
Published in
arXiv, September 2019
DOI 10.1007/978-3-030-33676-9_8
Book ISBNs
978-3-03-033675-2, 978-3-03-033676-9
Authors

Pau Panareda Busto, Juergen Gall

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Student > Bachelor 1 14%
Student > Doctoral Student 1 14%
Librarian 1 14%
Student > Master 1 14%
Other 1 14%
Readers by discipline Count As %
Computer Science 6 86%
Agricultural and Biological Sciences 1 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 December 2019.
All research outputs
#4,135,042
of 14,150,424 outputs
Outputs from arXiv
#87,168
of 546,354 outputs
Outputs of similar age
#120,906
of 316,188 outputs
Outputs of similar age from arXiv
#7,075
of 33,922 outputs
Altmetric has tracked 14,150,424 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 546,354 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 316,188 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 33,922 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.