CS3H introduces a collision-resistant single-pass framework using normalized Hamming distance loss and attention to improve separation in unsupervised fine-grained image hashing.
Many ex- isting methods rely on high-dimensional features, resulting in high computational and memory costs at scale [1]
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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.