Leveraging Weak Tags for Efficient Image Retrieval via Deep Hyperspherical Quantization

This paper proposes Weakly-Supervised Deep Hyperspherical Quantization (WSDHQ), the first work to address the problem of learning deep quantization from weakly-tagged images without using ground-truth labels.