Matches in SemOpenAlex for { <https://semopenalex.org/work/W3107101469> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W3107101469 endingPage "750" @default.
- W3107101469 startingPage "734" @default.
- W3107101469 abstract "Retrieval networks are essential for searching and indexing. Compared to classification networks, attention visualization for retrieval networks is hardly studied. We formulate attention visualization as a constrained optimization problem. We leverage the unit L2-Norm constraint as an attention filter (L2-CAF) to localize attention in both classification and retrieval networks. Unlike recent literature, our approach requires neither architectural changes nor fine-tuning. Thus, a pre-trained network’s performance is never undermined. L2-CAF is quantitatively evaluated using weakly supervised object localization. State-of-the-art results are achieved on classification networks. For retrieval networks, significant improvement margins are achieved over a Grad-CAM baseline. Qualitative evaluation demonstrates how the L2-CAF visualizes attention per frame for a recurrent retrieval network. Further ablation studies highlight the computational cost of our approach and compare L2-CAF with other feasible alternatives. Code available at https://bit.ly/3iDBLFv ." @default.
- W3107101469 created "2020-12-07" @default.
- W3107101469 creator A5031745411 @default.
- W3107101469 creator A5055264952 @default.
- W3107101469 creator A5071123879 @default.
- W3107101469 creator A5091064356 @default.
- W3107101469 date "2020-01-01" @default.
- W3107101469 modified "2023-10-10" @default.
- W3107101469 title "A Generic Visualization Approach for Convolutional Neural Networks" @default.
- W3107101469 cites W1849277567 @default.
- W3107101469 cites W1901129140 @default.
- W3107101469 cites W2058580716 @default.
- W3107101469 cites W2064675550 @default.
- W3107101469 cites W2097117768 @default.
- W3107101469 cites W2108598243 @default.
- W3107101469 cites W2138011018 @default.
- W3107101469 cites W2295107390 @default.
- W3107101469 cites W2302255633 @default.
- W3107101469 cites W2405223529 @default.
- W3107101469 cites W2549858646 @default.
- W3107101469 cites W2606377603 @default.
- W3107101469 cites W2613997951 @default.
- W3107101469 cites W2738649458 @default.
- W3107101469 cites W2883554151 @default.
- W3107101469 cites W2891048235 @default.
- W3107101469 cites W2950557962 @default.
- W3107101469 cites W2952435096 @default.
- W3107101469 cites W2962830213 @default.
- W3107101469 cites W2962858109 @default.
- W3107101469 cites W2963026686 @default.
- W3107101469 cites W2963045696 @default.
- W3107101469 cites W2963195425 @default.
- W3107101469 cites W2963263909 @default.
- W3107101469 cites W2963350250 @default.
- W3107101469 cites W2963446712 @default.
- W3107101469 cites W2963874033 @default.
- W3107101469 cites W2963988212 @default.
- W3107101469 cites W2964274719 @default.
- W3107101469 cites W2981317786 @default.
- W3107101469 cites W2988157455 @default.
- W3107101469 cites W3101609372 @default.
- W3107101469 doi "https://doi.org/10.1007/978-3-030-58520-4_43" @default.
- W3107101469 hasPublicationYear "2020" @default.
- W3107101469 type Work @default.
- W3107101469 sameAs 3107101469 @default.
- W3107101469 citedByCount "2" @default.
- W3107101469 countsByYear W31071014692021 @default.
- W3107101469 countsByYear W31071014692022 @default.
- W3107101469 crossrefType "book-chapter" @default.
- W3107101469 hasAuthorship W3107101469A5031745411 @default.
- W3107101469 hasAuthorship W3107101469A5055264952 @default.
- W3107101469 hasAuthorship W3107101469A5071123879 @default.
- W3107101469 hasAuthorship W3107101469A5091064356 @default.
- W3107101469 hasBestOaLocation W31071014692 @default.
- W3107101469 hasConcept C119857082 @default.
- W3107101469 hasConcept C124101348 @default.
- W3107101469 hasConcept C153083717 @default.
- W3107101469 hasConcept C153180895 @default.
- W3107101469 hasConcept C154945302 @default.
- W3107101469 hasConcept C23123220 @default.
- W3107101469 hasConcept C36464697 @default.
- W3107101469 hasConcept C41008148 @default.
- W3107101469 hasConcept C75165309 @default.
- W3107101469 hasConcept C81363708 @default.
- W3107101469 hasConceptScore W3107101469C119857082 @default.
- W3107101469 hasConceptScore W3107101469C124101348 @default.
- W3107101469 hasConceptScore W3107101469C153083717 @default.
- W3107101469 hasConceptScore W3107101469C153180895 @default.
- W3107101469 hasConceptScore W3107101469C154945302 @default.
- W3107101469 hasConceptScore W3107101469C23123220 @default.
- W3107101469 hasConceptScore W3107101469C36464697 @default.
- W3107101469 hasConceptScore W3107101469C41008148 @default.
- W3107101469 hasConceptScore W3107101469C75165309 @default.
- W3107101469 hasConceptScore W3107101469C81363708 @default.
- W3107101469 hasLocation W31071014691 @default.
- W3107101469 hasLocation W31071014692 @default.
- W3107101469 hasOpenAccess W3107101469 @default.
- W3107101469 hasPrimaryLocation W31071014691 @default.
- W3107101469 hasRelatedWork W1976265003 @default.
- W3107101469 hasRelatedWork W2048865712 @default.
- W3107101469 hasRelatedWork W2054476758 @default.
- W3107101469 hasRelatedWork W2068608913 @default.
- W3107101469 hasRelatedWork W2130160813 @default.
- W3107101469 hasRelatedWork W2370378377 @default.
- W3107101469 hasRelatedWork W3024364549 @default.
- W3107101469 hasRelatedWork W4206019083 @default.
- W3107101469 hasRelatedWork W4210535024 @default.
- W3107101469 hasRelatedWork W4237510188 @default.
- W3107101469 isParatext "false" @default.
- W3107101469 isRetracted "false" @default.
- W3107101469 magId "3107101469" @default.
- W3107101469 workType "book-chapter" @default.