2017
Fried Binary Embedding for High-Dimensional Visual Features
CVPR 2017poster
Most existing binary embedding methods prefer compact binary codes (b-dimensional) to avoid high computational and memory cost of projecting high-dimensional visual features (d-dimensional, b < d). We argue that long binary codes (b O(d)) are critical to fully utilize the discriminative power of h…