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What and Who
Title:Joint Co-localisation and Co-segmentation
Speaker:Abhishek Sharma
coming from:Inria, Saclay
Speakers Bio:
Event Type:Talk
Visibility:D1, D2, D3, D4, D5, RG1, SWS, MMCI
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Level:MPI Audience
Language:English
Date, Time and Location
Date:Monday, 11 May 2015
Time:10:00
Duration:45 Minutes
Location:Saarbrücken
Building:E1 4
Room:633
Abstract
Co-segmentation is the problem of dividing a set of images into regions corresponding to k classes. Previous attempts to solve this problem can be broadly classified into two paradigms: Discriminative [1] and similarity based approach. Discriminative framework[1] do not ímpose any constraint that regions with the same label (eg. foreground) should have similar visual feature distributions. Moreover, the resulting objective function is optimized with a SDP solver, which is not scalable for more than (say) 50 images. Building on the work of [1], we include a foreground model and a linear prior and optimise the resulting function with QP solver, making the current framework suitable to large scale.


Given the successful trend of using object proposals in object detection, we extend the idea for co-segmentation. Intuition being that better spatial support will help discriminative clustering to focus on rich set of features. In the second part, we show how combining Co-localisation [2] with co-segmentation achieves very competitive results on three datasets.

Contact
Name(s):Connie Balzert
Phone:0681 9325 2000
EMail:cbalzert@mpi-inf.mpg.de
Video Broadcast
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Created by:Connie Balzert/MPI-INF, 05/06/2015 01:50 PMLast modified by:halma/MPII/DE, 06/04/2017 12:00 AM
  • Connie Balzert, 05/06/2015 01:51 PM
  • Connie Balzert, 05/06/2015 01:50 PM -- Created document.