Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval

ICCV 2017 Jifei SongQian YuYi-Zhe SongTao XiangTimothy M. Hospedales

Human sketches are unique in being able to capture both the spatial topology of a visual object, as well as its subtle appearance details. Fine-grained sketch-based image retrieval (FG-SBIR) importantly leverages on such fine-grained characteristics of sketches to conduct instance-level retrieval of photos... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK SOURCE PAPER COMPARE
Sketch-Based Image Retrieval Chairs Chairs net + CFF + HOLEF [email protected] 81.4 # 2
[email protected] 95.9 # 3
Sketch-Based Image Retrieval Handbags Handbags net + CFF + HOLEF [email protected] 49.4 # 2
[email protected] 82.7 # 2
Sketch-Based Image Retrieval Handbags Handbags net [email protected] 39.9 # 3
[email protected] 82.1 # 3

Methods used in the Paper


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