Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval
2021 IEEE International Conference on Data Mining (ICDM)(2021)
摘要
Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) aims at finding a specific image from a large gallery given a query sketch. Despite the widespread applicability of FG-SBIR in many critical domains (e.g., crime activity tracking), existing approaches still suffer from a low accuracy while being sensitive to external noises such as unnecessary strokes in the sketch. The retrieval performance wil...
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关键词
Training,Costs,Adaptive systems,Conferences,Image retrieval,Reinforcement learning,Noise measurement
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