FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2898208470> ?p ?o ?g. }

• W2898208470 endingPage "64181" @default.
• W2898208470 startingPage "64169" @default.
• W2898208470 abstract "Person re-identification (re-ID) is a widely studied yet still challenging problem in computer vision. It aims to match images of the same pedestrian captured from different cameras. Recently, deep learning has been widely used for feature extraction and distance metric learning in re-ID. However, most of them only consider a certain aspect of the input data and thus will make certain mistakes during the testing process. In this paper, group decision-making (GDM) theory is introduced for comprehensive decision. Furthermore, a novel GDM network (GDMN) is proposed which consists of two sub-networks. First, proposal generation network can generate proposals based on baseline networks for the following decision-making process. Then, decision evaluation network evaluates all the proposals and makes the comprehensive decision. The proposed GDMN can analyze the merits and drawbacks of existing methods and make a better decision. The experimental results on public re-ID benchmarks show that our approach significantly improves the performance of the baseline methods and achieves competitive results compared with other state-of-the-art methods." @default.
• W2898208470 created "2018-11-02" @default.
• W2898208470 creator A5013879989 @default.
• W2898208470 creator A5019419036 @default.
• W2898208470 creator A5026880177 @default.
• W2898208470 creator A5036270412 @default.
• W2898208470 creator A5076988030 @default.
• W2898208470 creator A5084901503 @default.
• W2898208470 date "2018-01-01" @default.
• W2898208470 modified "2023-10-03" @default.
• W2898208470 title "GDMN: Group Decision-Making Network for Person Re-Identification" @default.
• W2898208470 cites W133679782 @default.
• W2898208470 cites W1596233070 @default.
• W2898208470 cites W1677182931 @default.
• W2898208470 cites W1920259731 @default.
• W2898208470 cites W1928419358 @default.
• W2898208470 cites W1982925187 @default.
• W2898208470 cites W1991452654 @default.
• W2898208470 cites W2046835352 @default.
• W2898208470 cites W2048110836 @default.
• W2898208470 cites W2062677035 @default.
• W2898208470 cites W2068042582 @default.
• W2898208470 cites W2073642644 @default.
• W2898208470 cites W2079972027 @default.
• W2898208470 cites W2087793398 @default.
• W2898208470 cites W2089074647 @default.
• W2898208470 cites W2097117768 @default.
• W2898208470 cites W2135442311 @default.
• W2898208470 cites W2139763424 @default.
• W2898208470 cites W2151873133 @default.
• W2898208470 cites W2155893237 @default.
• W2898208470 cites W2168356304 @default.
• W2898208470 cites W2183341477 @default.
• W2898208470 cites W2194775991 @default.
• W2898208470 cites W2204750386 @default.
• W2898208470 cites W2300840837 @default.
• W2898208470 cites W2342611082 @default.
• W2898208470 cites W2346369283 @default.
• W2898208470 cites W2406702815 @default.
• W2898208470 cites W2433217581 @default.
• W2898208470 cites W2441160157 @default.
• W2898208470 cites W2463071499 @default.
• W2898208470 cites W2465670578 @default.
• W2898208470 cites W2467139031 @default.
• W2898208470 cites W2471048925 @default.
• W2898208470 cites W2474013209 @default.
• W2898208470 cites W2475284720 @default.
• W2898208470 cites W2584637367 @default.
• W2898208470 cites W2585635281 @default.
• W2898208470 cites W2591509103 @default.
• W2898208470 cites W2604211872 @default.
• W2898208470 cites W2606377603 @default.
• W2898208470 cites W2622829582 @default.
• W2898208470 cites W2736410039 @default.
• W2898208470 cites W2738760914 @default.
• W2898208470 cites W2740687571 @default.
• W2898208470 cites W2747359207 @default.
• W2898208470 cites W2752903123 @default.
• W2898208470 cites W2776203024 @default.
• W2898208470 cites W2911964244 @default.
• W2898208470 cites W2963438548 @default.
• W2898208470 cites W2963690547 @default.
• W2898208470 cites W2963721283 @default.
• W2898208470 cites W2963960612 @default.
• W2898208470 cites W2964163358 @default.
• W2898208470 cites W2964304299 @default.
• W2898208470 cites W3004732066 @default.
• W2898208470 cites W4212883601 @default.
• W2898208470 doi "https://doi.org/10.1109/access.2018.2877841" @default.
• W2898208470 hasPublicationYear "2018" @default.
• W2898208470 type Work @default.
• W2898208470 sameAs 2898208470 @default.
• W2898208470 citedByCount "5" @default.
• W2898208470 countsByYear W28982084702019 @default.
• W2898208470 countsByYear W28982084702020 @default.
• W2898208470 countsByYear W28982084702023 @default.
• W2898208470 crossrefType "journal-article" @default.
• W2898208470 hasAuthorship W2898208470A5013879989 @default.
• W2898208470 hasAuthorship W2898208470A5019419036 @default.
• W2898208470 hasAuthorship W2898208470A5026880177 @default.
• W2898208470 hasAuthorship W2898208470A5036270412 @default.
• W2898208470 hasAuthorship W2898208470A5076988030 @default.
• W2898208470 hasAuthorship W2898208470A5084901503 @default.
• W2898208470 hasBestOaLocation W28982084701 @default.
• W2898208470 hasConcept C111368507 @default.
• W2898208470 hasConcept C111919701 @default.
• W2898208470 hasConcept C116834253 @default.
• W2898208470 hasConcept C119857082 @default.
• W2898208470 hasConcept C124101348 @default.
• W2898208470 hasConcept C12725497 @default.
• W2898208470 hasConcept C127313418 @default.
• W2898208470 hasConcept C127413603 @default.
• W2898208470 hasConcept C154945302 @default.
• W2898208470 hasConcept C176217482 @default.
• W2898208470 hasConcept C17744445 @default.
• W2898208470 hasConcept C199539241 @default.
• W2898208470 hasConcept C20701700 @default.
• W2898208470 hasConcept C21547014 @default.

• next