Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285387508> ?p ?o ?g. }
- W4285387508 endingPage "2" @default.
- W4285387508 startingPage "2" @default.
- W4285387508 abstract "Visual illusions expand our understanding of the visual system by imposing constraints in the models in two different ways: i) visual illusions for humans should induce equivalent illusions in the model, and ii) illusions synthesized from the model should be compelling for human viewers too. These constraints are alternative strategies to find good vision models. Following the first research strategy, recent studies have shown that artificial neural network architectures also have human-like illusory percepts when stimulated with classical hand-crafted stimuli designed to fool humans. In this work we focus on the second (less explored) strategy: we propose a framework to synthesize new visual illusions using the optimization abilities of current automatic differentiation techniques. The proposed framework can be used with classical vision models as well as with more recent artificial neural network architectures. This framework, validated by psychophysical experiments, can be used to study the difference between a vision model and the actual human perception and to optimize the vision model to decrease this difference." @default.
- W4285387508 created "2022-07-14" @default.
- W4285387508 creator A5010974959 @default.
- W4285387508 creator A5050549303 @default.
- W4285387508 creator A5065733630 @default.
- W4285387508 creator A5085356302 @default.
- W4285387508 creator A5090215237 @default.
- W4285387508 date "2022-07-14" @default.
- W4285387508 modified "2023-10-12" @default.
- W4285387508 title "On the synthesis of visual illusions using deep generative models" @default.
- W4285387508 cites W1969994742 @default.
- W4285387508 cites W1980064688 @default.
- W4285387508 cites W2003594488 @default.
- W4285387508 cites W2028399888 @default.
- W4285387508 cites W2033442452 @default.
- W4285387508 cites W2035623690 @default.
- W4285387508 cites W2072128103 @default.
- W4285387508 cites W2074901687 @default.
- W4285387508 cites W2093179682 @default.
- W4285387508 cites W2102795698 @default.
- W4285387508 cites W2104797139 @default.
- W4285387508 cites W2123566137 @default.
- W4285387508 cites W2125721018 @default.
- W4285387508 cites W2126226185 @default.
- W4285387508 cites W2130137746 @default.
- W4285387508 cites W2136525498 @default.
- W4285387508 cites W2155706938 @default.
- W4285387508 cites W2160624298 @default.
- W4285387508 cites W2160994113 @default.
- W4285387508 cites W2165422719 @default.
- W4285387508 cites W2176287621 @default.
- W4285387508 cites W2274405424 @default.
- W4285387508 cites W2323067647 @default.
- W4285387508 cites W2462702331 @default.
- W4285387508 cites W2502575609 @default.
- W4285387508 cites W2508457857 @default.
- W4285387508 cites W2611715315 @default.
- W4285387508 cites W2765407761 @default.
- W4285387508 cites W2766132499 @default.
- W4285387508 cites W2793696519 @default.
- W4285387508 cites W2809895662 @default.
- W4285387508 cites W2906729185 @default.
- W4285387508 cites W2914756671 @default.
- W4285387508 cites W2953310191 @default.
- W4285387508 cites W2992005611 @default.
- W4285387508 cites W3046913711 @default.
- W4285387508 cites W3083092310 @default.
- W4285387508 cites W3091033348 @default.
- W4285387508 cites W3098585936 @default.
- W4285387508 cites W3101380508 @default.
- W4285387508 cites W3108490213 @default.
- W4285387508 cites W3134644686 @default.
- W4285387508 cites W3137888317 @default.
- W4285387508 cites W3137959340 @default.
- W4285387508 cites W3153606705 @default.
- W4285387508 cites W3162322270 @default.
- W4285387508 cites W4212991200 @default.
- W4285387508 cites W4246177170 @default.
- W4285387508 cites W4248109390 @default.
- W4285387508 cites W4298074858 @default.
- W4285387508 cites W4362597616 @default.
- W4285387508 doi "https://doi.org/10.1167/jov.22.8.2" @default.
- W4285387508 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35833884" @default.
- W4285387508 hasPublicationYear "2022" @default.
- W4285387508 type Work @default.
- W4285387508 citedByCount "2" @default.
- W4285387508 countsByYear W42853875082023 @default.
- W4285387508 crossrefType "journal-article" @default.
- W4285387508 hasAuthorship W4285387508A5010974959 @default.
- W4285387508 hasAuthorship W4285387508A5050549303 @default.
- W4285387508 hasAuthorship W4285387508A5065733630 @default.
- W4285387508 hasAuthorship W4285387508A5085356302 @default.
- W4285387508 hasAuthorship W4285387508A5090215237 @default.
- W4285387508 hasBestOaLocation W42853875081 @default.
- W4285387508 hasConcept C115961682 @default.
- W4285387508 hasConcept C120665830 @default.
- W4285387508 hasConcept C121332964 @default.
- W4285387508 hasConcept C139793654 @default.
- W4285387508 hasConcept C154945302 @default.
- W4285387508 hasConcept C15744967 @default.
- W4285387508 hasConcept C160086991 @default.
- W4285387508 hasConcept C169760540 @default.
- W4285387508 hasConcept C178253425 @default.
- W4285387508 hasConcept C180747234 @default.
- W4285387508 hasConcept C184047640 @default.
- W4285387508 hasConcept C192209626 @default.
- W4285387508 hasConcept C26760741 @default.
- W4285387508 hasConcept C31972630 @default.
- W4285387508 hasConcept C39890363 @default.
- W4285387508 hasConcept C41008148 @default.
- W4285387508 hasConcept C50644808 @default.
- W4285387508 hasConceptScore W4285387508C115961682 @default.
- W4285387508 hasConceptScore W4285387508C120665830 @default.
- W4285387508 hasConceptScore W4285387508C121332964 @default.
- W4285387508 hasConceptScore W4285387508C139793654 @default.
- W4285387508 hasConceptScore W4285387508C154945302 @default.
- W4285387508 hasConceptScore W4285387508C15744967 @default.
- W4285387508 hasConceptScore W4285387508C160086991 @default.