Binary embedding is a powerful technique that allows us to convert high-dimensional data into binary vectors. This process allows for efficient storage and faster computation, especially for large-scale multimedia retrieval tasks. Compressing float32 to binary can reduce memory usage by 32 times. This blog explores the integration of binary embedding within the CLIP framework, aiming to optimize multimodal retrieval and ranking performance. We delve into different binary quantization functions, ...