Deep Hashing

Deep Hashing is a deep learning technique that learns efficient binary codes to approximate high-dimensional data, aiming to accelerate similarity search and retrieval tasks on large-scale datasets. In the field of computer vision, Deep Hashing can significantly reduce storage costs and computational complexity, enhancing the efficiency of image and video retrieval. It is widely applied in content recommendation, image recognition, and data mining scenarios.