Deep Fourier Ranking Quantization for Semi-Supervised Image Retrieval
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DOI: 10.1109/tip.2022.3203612
Abstract: To reduce the extreme label dependence of supervised product quantization methods, the semi-supervised paradigm usually employs massive unlabeled data to assist in regularizing deep networks, thereby improving model performance. However, the existing method focuses on… read more here.
Keywords: deep fourier; semi supervised; quantization; ranking quantization ... See more keywords