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- W4287367114 endingPage "7292" @default.
- W4287367114 startingPage "7270" @default.
- W4287367114 abstract "In recent years a vast amount of visual content has been generated and shared from many fields, such as social media platforms, medical imaging, and robotics. This abundance of content creation and sharing has introduced new challenges, particularly that of searching databases for similar content — Content Based Image Retrieval (CBIR) — a long-established research area in which improved efficiency and accuracy are needed for real-time retrieval. Artificial intelligence has made progress in CBIR and has significantly facilitated the process of instance search. In this survey we review recent instance retrieval works that are developed based on deep learning algorithms and techniques, with the survey organized by deep feature extraction, feature embedding and aggregation methods, and network fine-tuning strategies. Our survey considers a wide variety of recent methods, whereby we identify milestone work, reveal connections among various methods and present the commonly used benchmarks, evaluation results, common challenges, and propose promising future directions." @default.
- W4287367114 created "2022-07-25" @default.
- W4287367114 creator A5004895426 @default.
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- W4287367114 creator A5077114895 @default.
- W4287367114 creator A5078015739 @default.
- W4287367114 date "2023-06-01" @default.
- W4287367114 modified "2023-10-16" @default.
- W4287367114 title "Deep Learning for Instance Retrieval: A Survey" @default.
- W4287367114 cites W1524680991 @default.
- W4287367114 cites W1556531089 @default.
- W4287367114 cites W1909011730 @default.
- W4287367114 cites W1935207225 @default.
- W4287367114 cites W1966385142 @default.
- W4287367114 cites W1975517671 @default.
- W4287367114 cites W1976794880 @default.
- W4287367114 cites W1984309565 @default.
- W4287367114 cites W1997360595 @default.
- W4287367114 cites W2012592962 @default.
- W4287367114 cites W2040002737 @default.
- W4287367114 cites W2062118960 @default.
- W4287367114 cites W2066142224 @default.
- W4287367114 cites W2071011912 @default.
- W4287367114 cites W2085261163 @default.
- W4287367114 cites W2105853573 @default.
- W4287367114 cites W2123229215 @default.
- W4287367114 cites W2128017662 @default.
- W4287367114 cites W2130660124 @default.
- W4287367114 cites W2131846894 @default.
- W4287367114 cites W2141362318 @default.
- W4287367114 cites W2142992480 @default.
- W4287367114 cites W2147069236 @default.
- W4287367114 cites W2147238549 @default.
- W4287367114 cites W2148809531 @default.
- W4287367114 cites W2151103935 @default.
- W4287367114 cites W2172188317 @default.
- W4287367114 cites W2194775991 @default.
- W4287367114 cites W2203224402 @default.
- W4287367114 cites W2204750386 @default.
- W4287367114 cites W2212363941 @default.
- W4287367114 cites W2287558205 @default.
- W4287367114 cites W2296096135 @default.
- W4287367114 cites W2299456531 @default.
- W4287367114 cites W2336803177 @default.
- W4287367114 cites W2411707397 @default.
- W4287367114 cites W2461073637 @default.
- W4287367114 cites W2470322391 @default.
- W4287367114 cites W2471768434 @default.
- W4287367114 cites W2499468060 @default.
- W4287367114 cites W2524324335 @default.
- W4287367114 cites W2526782364 @default.
- W4287367114 cites W2527197300 @default.
- W4287367114 cites W2527468481 @default.
- W4287367114 cites W2544587078 @default.
- W4287367114 cites W2559091987 @default.
- W4287367114 cites W2567001798 @default.
- W4287367114 cites W2569318312 @default.
- W4287367114 cites W2586937979 @default.
- W4287367114 cites W2587224204 @default.
- W4287367114 cites W2591614014 @default.
- W4287367114 cites W2595774333 @default.
- W4287367114 cites W2604390606 @default.
- W4287367114 cites W2604652497 @default.
- W4287367114 cites W2604669887 @default.
- W4287367114 cites W2619432746 @default.
- W4287367114 cites W2737075200 @default.
- W4287367114 cites W2744926832 @default.
- W4287367114 cites W2750727695 @default.
- W4287367114 cites W2751825910 @default.
- W4287367114 cites W2766455462 @default.
- W4287367114 cites W2766630630 @default.
- W4287367114 cites W2773163206 @default.
- W4287367114 cites W2788585680 @default.
- W4287367114 cites W2791153761 @default.
- W4287367114 cites W2799712919 @default.
- W4287367114 cites W2802862847 @default.
- W4287367114 cites W2805820938 @default.
- W4287367114 cites W2806301992 @default.
- W4287367114 cites W2807929798 @default.
- W4287367114 cites W2885563408 @default.
- W4287367114 cites W2888503380 @default.
- W4287367114 cites W2897078023 @default.
- W4287367114 cites W2897134347 @default.
- W4287367114 cites W2897464384 @default.
- W4287367114 cites W2902101981 @default.
- W4287367114 cites W2903106696 @default.
- W4287367114 cites W2903925707 @default.
- W4287367114 cites W2942105743 @default.
- W4287367114 cites W2943563866 @default.
- W4287367114 cites W2951019013 @default.
- W4287367114 cites W2952898185 @default.
- W4287367114 cites W2962684186 @default.
- W4287367114 cites W2962740980 @default.
- W4287367114 cites W2962941391 @default.