Deep hashing methods utilize an end-to-end framework to mutually learn feature representations and hash codes. thereby achieving a better retrieval performance. Traditional supervised hashing methods adopt handcrafted features for hashing function learning and then generate hash codes through classification and quantization. The lack of adaptability and independence of the quantizatio... https://countryscenesaddleryandpetsuppliers.shop/product-category/western-bridle/