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The available face descriptors are always generated by a hand-designed pooling scheme or without a pooling process. We propose to learn a pooling scheme for high-level features. First, we obtain the local features on the densely sampled points on a face image. Then, a weighted-sum pooling is used to obtain the high-level feature of a block of this face image. By learning the pooling weights, the structure...
Investigating that some face regions are possibly more reliable than the others when verifying two face images due to the local abnormal differences caused by the uncontrolled factors in unconstrain environment,we propose a novel face verification algorithm based on pairwise pre-estimation. In our algorithm, we estimate the reliability of a face region by detecting abnormal differences on some key...
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