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Computer Vision – ECCV 2014
Multi-scale Orderless Pooling of Deep Convolutional Activation Features
other
Author(s):
Yunchao Gong
,
Liwei Wang
,
Ruiqi Guo
,
Svetlana Lazebnik
Publication date
(Print):
2014
Publisher:
Springer International Publishing
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There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.
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International Journal of Automation & Digital Transformation
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Book Chapter
Publication date (Print):
2014
Pages
: 392-407
DOI:
10.1007/978-3-319-10584-0_26
SO-VID:
e86e5504-cf4f-4728-8edc-d9e8d621d0a9
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Book chapters
pp. 1
Person Re-Identification Using Kernel-Based Metric Learning Methods
pp. 17
Saliency in Crowd
pp. 33
Webpage Saliency
pp. 47
Deblurring Face Images with Exemplars
pp. 63
Sparse Spatio-spectral Representation for Hyperspectral Image Super-resolution
pp. 109
A Generative Model for the Joint Registration of Multiple Point Sets
pp. 154
OpenDR: An Approximate Differentiable Renderer
pp. 170
A Superior Tracking Approach: Building a Strong Tracker through Fusion
pp. 186
Training-Based Spectral Reconstruction from a Single RGB Image
pp. 297
Simultaneous Detection and Segmentation
pp. 329
Analyzing the Performance of Multilayer Neural Networks for Object Recognition
pp. 345
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
pp. 392
Multi-scale Orderless Pooling of Deep Convolutional Activation Features
pp. 472
Salient Montages from Unconstrained Videos
pp. 489
Action-Reaction: Forecasting the Dynamics of Human Interaction
pp. 505
Creating Summaries from User Videos
pp. 535
Robust Foreground Detection Using Smoothness and Arbitrariness Constraints
pp. 567
Dense Semi-rigid Scene Flow Estimation from RGBD Images
pp. 583
Video Pop-up: Monocular 3D Reconstruction of Dynamic Scenes
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