CS3H introduces a collision-resistant single-pass framework using normalized Hamming distance loss and attention to improve separation in unsupervised fine-grained image hashing.
Existing unsupervised hashing methods such as [3, 4, 5] have demonstrated competitive performance on generic image datasets like NUS-WIDE
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Collision-Resistant Single-Pass Method for Unsupervised Fine-Grained Image Hashing
CS3H introduces a collision-resistant single-pass framework using normalized Hamming distance loss and attention to improve separation in unsupervised fine-grained image hashing.