Matches in SemOpenAlex for { <https://semopenalex.org/work/W3099181346> ?p ?o ?g. }
- W3099181346 abstract "Identifying a short segment in a long video that semantically matches a text query is a challenging task that has important application potentials in language-based video search, browsing, and navigation. Typical retrieval systems respond to a query with either a whole video or a pre-defined video segment, but it is challenging to localize undefined segments in untrimmed and unsegmented videos where exhaustively searching over all possible segments is intractable. The outstanding challenge is that the representation of a video must account for different levels of granularity in the temporal domain. To tackle this problem, we propose the HierArchical Multi-Modal EncodeR (HAMMER) that encodes a video at both the coarse-grained clip level and the fine-grained frame level to extract information at different scales based on multiple subtasks, namely, video retrieval, segment temporal localization, and masked language modeling. We conduct extensive experiments to evaluate our model on moment localization in video corpus on ActivityNet Captions and TVR datasets. Our approach outperforms the previous methods as well as strong baselines, establishing new state-of-the-art for this task." @default.
- W3099181346 created "2020-11-23" @default.
- W3099181346 creator A5013936779 @default.
- W3099181346 creator A5021516103 @default.
- W3099181346 creator A5027134071 @default.
- W3099181346 creator A5042328954 @default.
- W3099181346 creator A5061779294 @default.
- W3099181346 creator A5065708799 @default.
- W3099181346 creator A5067433666 @default.
- W3099181346 creator A5087569305 @default.
- W3099181346 date "2020-11-18" @default.
- W3099181346 modified "2023-09-29" @default.
- W3099181346 title "A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus." @default.
- W3099181346 cites W1522301498 @default.
- W3099181346 cites W1527575280 @default.
- W3099181346 cites W1573040851 @default.
- W3099181346 cites W2108598243 @default.
- W3099181346 cites W2111078031 @default.
- W3099181346 cites W2123024445 @default.
- W3099181346 cites W2136036867 @default.
- W3099181346 cites W2139501017 @default.
- W3099181346 cites W2194775991 @default.
- W3099181346 cites W2465870074 @default.
- W3099181346 cites W2525778437 @default.
- W3099181346 cites W2558358930 @default.
- W3099181346 cites W2619947201 @default.
- W3099181346 cites W2774267535 @default.
- W3099181346 cites W2796869301 @default.
- W3099181346 cites W2808399042 @default.
- W3099181346 cites W2889185481 @default.
- W3099181346 cites W2890502146 @default.
- W3099181346 cites W2891456603 @default.
- W3099181346 cites W2894280539 @default.
- W3099181346 cites W2897439619 @default.
- W3099181346 cites W2897628926 @default.
- W3099181346 cites W2963017553 @default.
- W3099181346 cites W2963341956 @default.
- W3099181346 cites W2963393391 @default.
- W3099181346 cites W2963403868 @default.
- W3099181346 cites W2963524571 @default.
- W3099181346 cites W2963916161 @default.
- W3099181346 cites W2964089981 @default.
- W3099181346 cites W2966848258 @default.
- W3099181346 cites W2970401629 @default.
- W3099181346 cites W2970608575 @default.
- W3099181346 cites W2970898753 @default.
- W3099181346 cites W2981851019 @default.
- W3099181346 cites W2997762001 @default.
- W3099181346 cites W3016309009 @default.
- W3099181346 cites W3104862079 @default.
- W3099181346 cites W3106780750 @default.
- W3099181346 cites W877909479 @default.
- W3099181346 hasPublicationYear "2020" @default.
- W3099181346 type Work @default.
- W3099181346 sameAs 3099181346 @default.
- W3099181346 citedByCount "4" @default.
- W3099181346 countsByYear W30991813462021 @default.
- W3099181346 crossrefType "posted-content" @default.
- W3099181346 hasAuthorship W3099181346A5013936779 @default.
- W3099181346 hasAuthorship W3099181346A5021516103 @default.
- W3099181346 hasAuthorship W3099181346A5027134071 @default.
- W3099181346 hasAuthorship W3099181346A5042328954 @default.
- W3099181346 hasAuthorship W3099181346A5061779294 @default.
- W3099181346 hasAuthorship W3099181346A5065708799 @default.
- W3099181346 hasAuthorship W3099181346A5067433666 @default.
- W3099181346 hasAuthorship W3099181346A5087569305 @default.
- W3099181346 hasConcept C111919701 @default.
- W3099181346 hasConcept C118505674 @default.
- W3099181346 hasConcept C126042441 @default.
- W3099181346 hasConcept C13280743 @default.
- W3099181346 hasConcept C134306372 @default.
- W3099181346 hasConcept C154945302 @default.
- W3099181346 hasConcept C162324750 @default.
- W3099181346 hasConcept C17744445 @default.
- W3099181346 hasConcept C177774035 @default.
- W3099181346 hasConcept C185798385 @default.
- W3099181346 hasConcept C187736073 @default.
- W3099181346 hasConcept C199539241 @default.
- W3099181346 hasConcept C204321447 @default.
- W3099181346 hasConcept C205649164 @default.
- W3099181346 hasConcept C23123220 @default.
- W3099181346 hasConcept C2776359362 @default.
- W3099181346 hasConcept C2780451532 @default.
- W3099181346 hasConcept C31972630 @default.
- W3099181346 hasConcept C33923547 @default.
- W3099181346 hasConcept C36503486 @default.
- W3099181346 hasConcept C41008148 @default.
- W3099181346 hasConcept C76155785 @default.
- W3099181346 hasConcept C94625758 @default.
- W3099181346 hasConceptScore W3099181346C111919701 @default.
- W3099181346 hasConceptScore W3099181346C118505674 @default.
- W3099181346 hasConceptScore W3099181346C126042441 @default.
- W3099181346 hasConceptScore W3099181346C13280743 @default.
- W3099181346 hasConceptScore W3099181346C134306372 @default.
- W3099181346 hasConceptScore W3099181346C154945302 @default.
- W3099181346 hasConceptScore W3099181346C162324750 @default.
- W3099181346 hasConceptScore W3099181346C17744445 @default.
- W3099181346 hasConceptScore W3099181346C177774035 @default.
- W3099181346 hasConceptScore W3099181346C185798385 @default.
- W3099181346 hasConceptScore W3099181346C187736073 @default.