The devil is in the details: an evaluation of recent feature encoding methods

نویسندگان

  • Ken Chatfield
  • Victor S. Lempitsky
  • Andrea Vedaldi
  • Andrew Zisserman
چکیده

[1] www.robots.ox.ac.uk/ vgg/research/encoding eval. [2] J. Sivic and A. Zisserman. Proc. ICCV, 2003. [3] J. Philbin et al. Proc. CVPR, 2008. [4] J. C. van Gemert et al. Proc. ECCV, 2008. [5] J. Wang et al. Proc. CVPR, 2010. [6] F. Perronnin et al. Proc. ECCV, 2010. [7] X. Zhou et al. Proc. ECCV, 2010. Histogram (VQ) 8, 000 74.23± 0.65 Kernel Codebook (KCB) 8, 000 75.93± 0.57 Locality Constrained (LLC) 8, 000 76.95± 0.39 Fisher (FK) 256 (∼ 41k) 77.78± 0.56

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Devil Is in the Details! On Regulating Cannabis Use in Canada Based on Public Health Criteria; Comment on “Legalizing and Regulating Marijuana in Canada: Review of Potential Economic, Social, and Health Impacts”

This commentary to the editorial of Hajizadeh argues that the economic, social and health consequences of legalizing cannabis in Canada will depend in large part on the exact stipulations (mainly from the federal government) and on the implementation, regulation and practice of the legalization act (on provincial and municipal levels). A strict regulatory framework is necessary to minimize the ...

متن کامل

Automatic Face Recognition via Local Directional Patterns

Automatic facial recognition has many potential applications in different areas of humancomputer interaction. However, they are not yet fully realized due to the lack of an effectivefacial feature descriptor. In this paper, we present a new appearance based feature descriptor,the local directional pattern (LDP), to represent facial geometry and analyze its performance inrecognition. An LDP feat...

متن کامل

Receptive Field Encoding Model for Dynamic Natural Vision

Introduction: Encoding models are used to predict human brain activity in response to sensory stimuli. The purpose of these models is to explain how sensory information represent in the brain. Convolutional neural networks trained by images are capable of encoding magnetic resonance imaging data of humans viewing natural images. Considering the hemodynamic response function, these networks are ...

متن کامل

An Overview of the New Feature Selection Methods in Finite Mixture of Regression Models

Variable (feature) selection has attracted much attention in contemporary statistical learning and recent scientific research. This is mainly due to the rapid advancement in modern technology that allows scientists to collect data of unprecedented size and complexity. One type of statistical problem in such applications is concerned with modeling an output variable as a function of a sma...

متن کامل

Evaluation of Retinal Optic Disc Segmentation in Patients with Glaucoma and Comparison with Other Methods of Medical Image Processing

Introduction: Glaucoma is the most common cause of blindness in some countries. In the meantime, the field of retinal image processing has been proposed in order to provide automatic systems for disease diagnosis. Among the methods of medical image processing, image segmentation is a process of identification and change in the display of an image. The objective of this study was to use t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011