End-to-End Supervised Product Quantization for Image Search and Retrieval

Understand

Product Quantization, a dictionary based hashing method, is one of the leading unsupervised hashing techniques.

• While it ignores the labels, it harnesses the features to construct look up tables that can approximate the feature space.
• In recent years, several works have achieved state of the art results on hashing benchmarks by learning binary representations in a supervised manner.
• This work presents Deep Product Quantization (DPQ), a technique that leads to more accurate retrieval and classification than the latest state of the art methods, while having similar computational complexity and memory footprint as the Product Quantization method.