FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3164609541> ?p ?o ?g. }

• W3164609541 abstract "We present an unsupervised adaptation approach for visual scene understanding in unstructured traffic environments. Our method is designed for unstructured real-world scenarios with dense and heterogeneous traffic consisting of cars, trucks, two-and three-wheelers, and pedestrians. We describe a new semantic segmentation technique based on unsupervised domain adaptation (DA), that can identify the class or category of each region in RGB images or videos. We also present a novel self-training algorithm (Alt-Inc) for multi-source DA that improves the accuracy. Our overall approach is a deep learning-based technique and consists of an unsupervised neural network that achieves 87.18% accuracy on the challenging India Driving Dataset. Our method works well on roads that may not be well-marked or may include dirt, unidentifiable debris, potholes, etc. A key aspect of our approach is that it can also identify objects that are encountered by the model for the fist time during the testing phase. We compare our method against the state-of-the-art methods and show an improvement of 5.17% - 42.9%. Furthermore, we also conduct user studies that qualitatively validate the improvements in visual scene understanding of unstructured driving environments." @default.
• W3164609541 created "2021-06-07" @default.
• W3164609541 creator A5004194238 @default.
• W3164609541 creator A5016704715 @default.
• W3164609541 creator A5053036771 @default.
• W3164609541 date "2020-09-22" @default.
• W3164609541 modified "2023-09-27" @default.
• W3164609541 title "BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving Environments" @default.
• W3164609541 cites W1686810756 @default.
• W3164609541 cites W1903029394 @default.
• W3164609541 cites W1985690171 @default.
• W3164609541 cites W2081369115 @default.
• W3164609541 cites W2102104695 @default.
• W3164609541 cites W2412782625 @default.
• W3164609541 cites W2593768305 @default.
• W3164609541 cites W2605287558 @default.
• W3164609541 cites W2619538244 @default.
• W3164609541 cites W2779610669 @default.
• W3164609541 cites W2783963507 @default.
• W3164609541 cites W2891975605 @default.
• W3164609541 cites W2897093520 @default.
• W3164609541 cites W2901870313 @default.
• W3164609541 cites W2937073519 @default.
• W3164609541 cites W2948429981 @default.
• W3164609541 cites W2952787292 @default.
• W3164609541 cites W2952787450 @default.
• W3164609541 cites W2953139137 @default.
• W3164609541 cites W2955058313 @default.
• W3164609541 cites W2962976523 @default.
• W3164609541 cites W2963073217 @default.
• W3164609541 cites W2963107255 @default.
• W3164609541 cites W2971113548 @default.
• W3164609541 cites W2971188154 @default.
• W3164609541 cites W2972351704 @default.
• W3164609541 cites W2989484703 @default.
• W3164609541 cites W2990163449 @default.
• W3164609541 cites W2991471181 @default.
• W3164609541 cites W2997859902 @default.
• W3164609541 cites W2997910357 @default.
• W3164609541 cites W2998607115 @default.
• W3164609541 cites W2998869886 @default.
• W3164609541 cites W3004505403 @default.
• W3164609541 cites W3006729188 @default.
• W3164609541 cites W3011091052 @default.
• W3164609541 cites W3015177309 @default.
• W3164609541 cites W3016889634 @default.
• W3164609541 cites W3021413448 @default.
• W3164609541 cites W3034562924 @default.
• W3164609541 cites W3034785488 @default.
• W3164609541 cites W3035564946 @default.
• W3164609541 cites W3035750252 @default.
• W3164609541 cites W3036420677 @default.
• W3164609541 cites W3039941673 @default.
• W3164609541 cites W3042674247 @default.
• W3164609541 cites W3043189443 @default.
• W3164609541 cites W3096541549 @default.
• W3164609541 cites W3130367234 @default.
• W3164609541 cites W2949300070 @default.
• W3164609541 hasPublicationYear "2020" @default.
• W3164609541 type Work @default.
• W3164609541 sameAs 3164609541 @default.
• W3164609541 citedByCount "1" @default.
• W3164609541 countsByYear W31646095412020 @default.
• W3164609541 crossrefType "posted-content" @default.
• W3164609541 hasAuthorship W3164609541A5004194238 @default.
• W3164609541 hasAuthorship W3164609541A5016704715 @default.
• W3164609541 hasAuthorship W3164609541A5053036771 @default.
• W3164609541 hasConcept C108583219 @default.
• W3164609541 hasConcept C119857082 @default.
• W3164609541 hasConcept C120665830 @default.
• W3164609541 hasConcept C121332964 @default.
• W3164609541 hasConcept C139807058 @default.
• W3164609541 hasConcept C153180895 @default.
• W3164609541 hasConcept C154945302 @default.
• W3164609541 hasConcept C41008148 @default.
• W3164609541 hasConcept C8038995 @default.
• W3164609541 hasConcept C81363708 @default.
• W3164609541 hasConcept C89600930 @default.
• W3164609541 hasConceptScore W3164609541C108583219 @default.
• W3164609541 hasConceptScore W3164609541C119857082 @default.
• W3164609541 hasConceptScore W3164609541C120665830 @default.
• W3164609541 hasConceptScore W3164609541C121332964 @default.
• W3164609541 hasConceptScore W3164609541C139807058 @default.
• W3164609541 hasConceptScore W3164609541C153180895 @default.
• W3164609541 hasConceptScore W3164609541C154945302 @default.
• W3164609541 hasConceptScore W3164609541C41008148 @default.
• W3164609541 hasConceptScore W3164609541C8038995 @default.
• W3164609541 hasConceptScore W3164609541C81363708 @default.
• W3164609541 hasConceptScore W3164609541C89600930 @default.
• W3164609541 hasLocation W31646095411 @default.
• W3164609541 hasOpenAccess W3164609541 @default.
• W3164609541 hasPrimaryLocation W31646095411 @default.
• W3164609541 hasRelatedWork W2014796651 @default.
• W3164609541 hasRelatedWork W2109031502 @default.
• W3164609541 hasRelatedWork W2136880039 @default.
• W3164609541 hasRelatedWork W2260280755 @default.
• W3164609541 hasRelatedWork W2401640538 @default.
• W3164609541 hasRelatedWork W2739253758 @default.
• W3164609541 hasRelatedWork W2779985940 @default.
• W3164609541 hasRelatedWork W2947177935 @default.

• next