Deep Image Retrieval: Learning global representations for image search

5 Apr 2016Albert GordoJon AlmazanJerome RevaudDiane Larlus

We propose a novel approach for instance-level image retrieval. It produces a global and compact fixed-length representation for each image by aggregating many region-wise descriptors... (read more)

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Evaluation Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK COMPARE
Image Retrieval Oxf105k DIR+QE* MAP 87.8% # 3
Image Retrieval Oxf5k DIR+QE* MAP 89% # 3
Image Retrieval Par106k DIR+QE* mAP 90.5% # 3
Image Retrieval Par6k DIR+QE* mAP 93.8% # 3