Region-based Voting. Query. Exemplar 1. Exemplar 2. 1. Region-based Voting. Query. Exemplar 1. Exemplar 2. 2. Region-based Voting. Mean Shift Clustering. Query. Query. Exemplar 1. Exemplar 2. 3. Discriminative Weight Learning. Not all regions are equally important. D IK. D IJ.
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diJ=minj χ2(fiI, fjJ)
DIJ = Σiwi · diJ
DIK > DIJ
Max-margin formulation results in a sparse solution of weights.
Frome, Singer and Malik. NIPS ‘06
Region matching based voting
: Object label
: Background label
: Unknown label
Fully automatic unlike interactive use of Graph Cuts, e.g. Blake et al. ECCV 04
Arbelaez and Cohen. CVPR 08
1. Ferrari et al. PAMI 2008. 2. Ferrari, Jurie, Schmid. CVPR 2007
The mean average precision is 75.7±3.2%