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Chapter and Conference Paper
Adaptive Fine-Grained Sketch-Based Image Retrieval
The recent focus on Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) has shifted towards generalising a model to new categories without any training data from them. In real-world applications, however, a t...
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Chapter and Conference Paper
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context
We advance sketch research to scenes with the first dataset of freehand scene sketches, FS-COCO. With practical applications in mind, we collect sketches that convey scene content well but can be sketched with...
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Chapter and Conference Paper
Fine-Grained Visual Classification via Progressive Multi-granularity Training of Jigsaw Patches
Fine-grained visual classification (FGVC) is much more challenging than traditional classification tasks due to the inherently subtle intra-class object variations. Recent works are mainly part-driven (either ...