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Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval
[article]
2021
arXiv
pre-print
Zero-Shot Sketch-Based Image Retrieval (ZS-SBIR) is a novel cross-modal retrieval task, where abstract sketches are used as queries to retrieve natural images under zero-shot scenario. Most existing methods regard ZS-SBIR as a traditional classification problem and employ a cross-entropy or triplet-based loss to achieve retrieval, which neglect the problems of the domain gap between sketches and natural images and the large intra-class diversity in sketches. Toward this end, we propose a novel
arXiv:2106.11841v1
fatcat:qgddlkknvneg3hxiqh2pxrq6ee