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Computer Vision – ACCV 2016

Overview of attention for book
Cover of 'Computer Vision – ACCV 2016'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Realtime Hierarchical Clustering Based on Boundary and Surface Statistics
  3. Altmetric Badge
    Chapter 2 Weakly-Supervised Video Scene Co-parsing
  4. Altmetric Badge
    Chapter 3 Supervoxel-Based Segmentation of 3D Volumetric Images
  5. Altmetric Badge
    Chapter 4 Message Passing on the Two-Layer Network for Geometric Model Fitting
  6. Altmetric Badge
    Chapter 5 Deep Supervised Hashing with Triplet Labels
  7. Altmetric Badge
    Chapter 6 Boosting Zero-Shot Image Classification via Pairwise Relationship Learning
  8. Altmetric Badge
    Chapter 7 Hierarchical Supervoxel Graph for Interactive Video Object Representation and Segmentation
  9. Altmetric Badge
    Chapter 8 Learning to Generate Object Segment Proposals with Multi-modal Cues
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    Chapter 9 Saliency Detection via Diversity-Induced Multi-view Matrix Decomposition
  11. Altmetric Badge
    Chapter 10 Parallel Accelerated Matting Method Based on Local Learning
  12. Altmetric Badge
    Chapter 11 Semi-supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation
  13. Altmetric Badge
    Chapter 12 Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
  14. Altmetric Badge
    Chapter 13 Object Boundary Guided Semantic Segmentation
  15. Altmetric Badge
    Chapter 14 FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture
  16. Altmetric Badge
    Chapter 15 Point-Cut: Interactive Image Segmentation Using Point Supervision
  17. Altmetric Badge
    Chapter 16 A Holistic Approach for Data-Driven Object Cutout
  18. Altmetric Badge
    Chapter 17 Interactive Segmentation from 1-Bit Feedback
  19. Altmetric Badge
    Chapter 18 Geodesic Distance Histogram Feature for Video Segmentation
  20. Altmetric Badge
    Chapter 19 HF-FCN: Hierarchically Fused Fully Convolutional Network for Robust Building Extraction
  21. Altmetric Badge
    Chapter 20 Dictionary Reduction: Automatic Compact Dictionary Learning for Classification
  22. Altmetric Badge
    Chapter 21 A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval
  23. Altmetric Badge
    Chapter 22 SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions
  24. Altmetric Badge
    Chapter 23 An Online Algorithm for Efficient and Temporally Consistent Subspace Clustering
  25. Altmetric Badge
    Chapter 24 Sparse Gradient Pursuit for Robust Visual Analysis
  26. Altmetric Badge
    Chapter 25 F-SORT: An Alternative for Faster Geometric Verification
  27. Altmetric Badge
    Chapter 26 Clustering Symmetric Positive Definite Matrices on the Riemannian Manifolds
  28. Altmetric Badge
    Chapter 27 Subspace Learning Based Low-Rank Representation
Attention for Chapter 18: Geodesic Distance Histogram Feature for Video Segmentation
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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Chapter title
Geodesic Distance Histogram Feature for Video Segmentation
Chapter number 18
Book title
Computer Vision – ACCV 2016
Published in
Lecture notes in computer science, March 2017
DOI 10.1007/978-3-319-54181-5_18
Book ISBNs
978-3-31-954180-8, 978-3-31-954181-5
Authors

Hieu Le, Vu Nguyen, Chen-Ping Yu, Dimitris Samaras, Le, Hieu, Nguyen, Vu, Yu, Chen-Ping, Samaras, Dimitris

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 33%
Researcher 2 22%
Student > Ph. D. Student 1 11%
Unspecified 1 11%
Professor > Associate Professor 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Computer Science 5 56%
Engineering 2 22%
Unspecified 1 11%
Unknown 1 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 April 2017.
All research outputs
#15,724,649
of 24,998,746 outputs
Outputs from Lecture notes in computer science
#4,390
of 8,155 outputs
Outputs of similar age
#179,300
of 313,413 outputs
Outputs of similar age from Lecture notes in computer science
#36
of 109 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,155 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 313,413 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.

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