Matches in SemOpenAlex for { <https://semopenalex.org/work/W2895847040> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W2895847040 abstract "Feature-based image differencing is an efficient approach to image change detection, which performs fast enough for self-driving car and robotic applications. Extant approaches typically take local keypoint features as input to the differencing stage. In this study, we aim to extend the differencing stage to consider object-level features. Our object level approach is inspired by recent advances in two independent object-region proposal techniques: supervised object proposal (e.g., YOLO) and unsupervised object proposal (e.g., BING). A difficulty arises from the fact that even state-of-the-art object proposal techniques suffer from misdetections and false alarms. Our key concept is combining the supervised and unsupervised techniques into a common framework that evaluates the likelihood of change at the semantic object level. We address a challenging urban scenario using the publicly available Malaga dataset and experimentally verify that improved change detection performance can be obtained with our approach." @default.
- W2895847040 created "2018-10-26" @default.
- W2895847040 creator A5007423029 @default.
- W2895847040 creator A5023963830 @default.
- W2895847040 creator A5074244941 @default.
- W2895847040 date "2018-06-01" @default.
- W2895847040 modified "2023-09-22" @default.
- W2895847040 title "Leveraging Object Proposals for Object-Level Change Detection" @default.
- W2895847040 cites W1502961966 @default.
- W2895847040 cites W1894683164 @default.
- W2895847040 cites W2010181071 @default.
- W2895847040 cites W2031489346 @default.
- W2895847040 cites W2042323109 @default.
- W2895847040 cites W2086701430 @default.
- W2895847040 cites W2093593306 @default.
- W2895847040 cites W2109370419 @default.
- W2895847040 cites W2151103935 @default.
- W2895847040 cites W2153479179 @default.
- W2895847040 cites W2156285507 @default.
- W2895847040 cites W2166693259 @default.
- W2895847040 cites W2170140722 @default.
- W2895847040 cites W2336803177 @default.
- W2895847040 cites W2570343428 @default.
- W2895847040 cites W2904554046 @default.
- W2895847040 cites W2962835968 @default.
- W2895847040 cites W2962921175 @default.
- W2895847040 doi "https://doi.org/10.1109/ivs.2018.8500475" @default.
- W2895847040 hasPublicationYear "2018" @default.
- W2895847040 type Work @default.
- W2895847040 sameAs 2895847040 @default.
- W2895847040 citedByCount "3" @default.
- W2895847040 countsByYear W28958470402019 @default.
- W2895847040 countsByYear W28958470402023 @default.
- W2895847040 crossrefType "proceedings-article" @default.
- W2895847040 hasAuthorship W2895847040A5007423029 @default.
- W2895847040 hasAuthorship W2895847040A5023963830 @default.
- W2895847040 hasAuthorship W2895847040A5074244941 @default.
- W2895847040 hasConcept C119857082 @default.
- W2895847040 hasConcept C124101348 @default.
- W2895847040 hasConcept C138885662 @default.
- W2895847040 hasConcept C153180895 @default.
- W2895847040 hasConcept C154945302 @default.
- W2895847040 hasConcept C182521987 @default.
- W2895847040 hasConcept C203595873 @default.
- W2895847040 hasConcept C26517878 @default.
- W2895847040 hasConcept C2776151529 @default.
- W2895847040 hasConcept C2776401178 @default.
- W2895847040 hasConcept C2781238097 @default.
- W2895847040 hasConcept C31510193 @default.
- W2895847040 hasConcept C31972630 @default.
- W2895847040 hasConcept C38652104 @default.
- W2895847040 hasConcept C41008148 @default.
- W2895847040 hasConcept C41895202 @default.
- W2895847040 hasConcept C4641261 @default.
- W2895847040 hasConceptScore W2895847040C119857082 @default.
- W2895847040 hasConceptScore W2895847040C124101348 @default.
- W2895847040 hasConceptScore W2895847040C138885662 @default.
- W2895847040 hasConceptScore W2895847040C153180895 @default.
- W2895847040 hasConceptScore W2895847040C154945302 @default.
- W2895847040 hasConceptScore W2895847040C182521987 @default.
- W2895847040 hasConceptScore W2895847040C203595873 @default.
- W2895847040 hasConceptScore W2895847040C26517878 @default.
- W2895847040 hasConceptScore W2895847040C2776151529 @default.
- W2895847040 hasConceptScore W2895847040C2776401178 @default.
- W2895847040 hasConceptScore W2895847040C2781238097 @default.
- W2895847040 hasConceptScore W2895847040C31510193 @default.
- W2895847040 hasConceptScore W2895847040C31972630 @default.
- W2895847040 hasConceptScore W2895847040C38652104 @default.
- W2895847040 hasConceptScore W2895847040C41008148 @default.
- W2895847040 hasConceptScore W2895847040C41895202 @default.
- W2895847040 hasConceptScore W2895847040C4641261 @default.
- W2895847040 hasLocation W28958470401 @default.
- W2895847040 hasOpenAccess W2895847040 @default.
- W2895847040 hasPrimaryLocation W28958470401 @default.
- W2895847040 hasRelatedWork W2062625955 @default.
- W2895847040 hasRelatedWork W2093739686 @default.
- W2895847040 hasRelatedWork W2168121467 @default.
- W2895847040 hasRelatedWork W2303185727 @default.
- W2895847040 hasRelatedWork W2509268119 @default.
- W2895847040 hasRelatedWork W2550194491 @default.
- W2895847040 hasRelatedWork W2607976391 @default.
- W2895847040 hasRelatedWork W2744677386 @default.
- W2895847040 hasRelatedWork W2768822872 @default.
- W2895847040 hasRelatedWork W2770255971 @default.
- W2895847040 hasRelatedWork W2908696099 @default.
- W2895847040 hasRelatedWork W2963408063 @default.
- W2895847040 hasRelatedWork W2972889246 @default.
- W2895847040 hasRelatedWork W2990578161 @default.
- W2895847040 hasRelatedWork W2992370539 @default.
- W2895847040 hasRelatedWork W3166998651 @default.
- W2895847040 hasRelatedWork W3175890016 @default.
- W2895847040 hasRelatedWork W3195000282 @default.
- W2895847040 hasRelatedWork W3204727054 @default.
- W2895847040 hasRelatedWork W76974083 @default.
- W2895847040 isParatext "false" @default.
- W2895847040 isRetracted "false" @default.
- W2895847040 magId "2895847040" @default.
- W2895847040 workType "article" @default.