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Semi-Supervised Sketch Based Image Retrieval
1 paper with code · 0 benchmarks · 0 datasets archive 2025-07-28
Whilst the number of photos can be easily scaled, each corresponding sketch still needs to be individually produced for fine-grained sketch-based image retrieval. The objective is to mitigate such an upper-bound on sketch data, and study whether unlabelled photos alone (of which they are many) can be cultivated for performance gain.
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More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval25 Mar 2021 1 repository listedA fundamental challenge faced by existing Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) models is the data scarcity -- model performances are largely bottlenecked by the lack of sketch-photo pairs.
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