Simultaneous Feature Aggregating and Hashing for Large-scale Image Search

Tóm tắt

We propose a novel framework where feature aggregating and hashing are designed simultaneously and optimized jointly. Specifically, our joint optimization produces aggregated representations that can be better reconstructed by some binary codes. This leads to more discriminative binary hash codes and improved retrieval accuracy. In addition, we also propose a fast version of the recently-proposed Binary Autoencoder to be used in our proposed framework.

Công trình
CVPR 2017
Ngày Tháng