{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,12]],"date-time":"2025-04-12T04:17:13Z","timestamp":1744431433590,"version":"3.40.4"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-009"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-001"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. IEEE"],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1109\/jproc.2024.3380905","type":"journal-article","created":{"date-parts":[[2024,4,10]],"date-time":"2024-04-10T18:18:07Z","timestamp":1712773087000},"page":"88-96","source":"Crossref","is-referenced-by-count":2,"title":["Informing Machine Perception With Psychophysics [Point of View]"],"prefix":"10.1109","volume":"112","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-0337-1440","authenticated-orcid":false,"given":"Justin","family":"Dulay","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA"}]},{"given":"Sonia","family":"Poltoratski","sequence":"additional","affiliation":[{"name":"Zoox, Inc., Foster City, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5246-8815","authenticated-orcid":false,"given":"Till S.","family":"Hartmann","sequence":"additional","affiliation":[{"name":"Zoox, Inc., Foster City, CA, USA"}]},{"given":"Samuel E.","family":"Anthony","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9649-8074","authenticated-orcid":false,"given":"Walter J.","family":"Scheirer","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0023323"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.2297711"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-16178-5_32"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_41"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3092688"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2012.01.010"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2018.06.002"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1101\/2020.06.16.154542"},{"key":"ref9","article-title":"ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness","author":"Geirhos","year":"2018","journal-title":"arXiv:1811.12231"},{"key":"ref10","first-page":"1","article-title":"Generalisation in humans and deep neural networks","volume-title":"Proc. NeurIPS","author":"Geirhos"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2849989"},{"key":"ref12","first-page":"1","article-title":"Brain-score: Which artificial neural network for object recognition is most brain-like?","author":"Schrimpf","year":"2018","journal-title":"BioRxiv"},{"key":"ref13","article-title":"Psychophysical-score: A behavioral measure for assessing the biological plausibility of visual recognition models","author":"RichardWebster","year":"2023","journal-title":"arXiv:2210.08632"},{"key":"ref14","article-title":"DELAUNAY: A dataset of abstract art for psychophysical and machine learning research","author":"Gontier","year":"2022","journal-title":"arXiv:2201.12123"},{"key":"ref15","first-page":"13890","article-title":"Beyond accuracy: Quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Geirhos"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1011342"},{"volume-title":"Mind Children: The Future of Robot and Human Intelligence","year":"1988","author":"Moravec","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1724-z"},{"key":"ref19","article-title":"Google\u2019s neural machine translation system: Bridging the gap between human and machine translation","author":"Wu","year":"2016","journal-title":"arXiv:1609.08144"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-65981-7_12"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1257\/pol.4.1.186"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3758\/s13423-012-0296-9"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2017.06.007"},{"key":"ref24","article-title":"Comparison-based framework for psychophysics: Lab versus crowdsourcing","author":"Haghiri","year":"2019","journal-title":"arXiv:1905.07234"},{"key":"ref25","article-title":"Artificial artificial artificial intelligence: Crowd workers widely use large language models for text production tasks","author":"Veselovsky","year":"2023","journal-title":"arXiv:2306.07899"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2017.155"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_16"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/MPOT.2019.2939376"},{"volume-title":"Psychophysics: A PracticalIntroduction","year":"2016","author":"Prins","key":"ref29"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9280.2006.01750.x"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_32"},{"key":"ref32","article-title":"Deep predictive coding networks for video prediction and unsupervised learning","author":"Lotter","year":"2016","journal-title":"arXiv:1605.08104"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2018.00345"},{"key":"ref34","article-title":"Convolutional neural networks deceived by visual illusions","author":"Gomez-Villa","year":"2018","journal-title":"arXiv:1811.10565"},{"key":"ref35","first-page":"9432","article-title":"Harmonizing the object recognition strategies of deep neural networks with humans","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Fel"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pbio.3001418"},{"key":"ref37","first-page":"23885","article-title":"Partial success in closing the gap between human and machine vision","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Geirhos"},{"key":"ref38","article-title":"Using human perception to regularize transfer learning","author":"Dulay","year":"2022","journal-title":"arXiv:2211.07885"},{"key":"ref39","article-title":"Do better ImageNet classifiers assess perceptual similarity better?","author":"Kumar","year":"2022","journal-title":"arXiv:2203.04946"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1177\/0278364918770733"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1126\/science.aab3050"},{"key":"ref42","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"Radford","year":"2015","journal-title":"arXiv:1511.06434"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"container-title":["Proceedings of the IEEE"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5\/10496398\/10496416.pdf?arnumber=10496416","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,11]],"date-time":"2025-04-11T18:01:36Z","timestamp":1744394496000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10496416\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":43,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/jproc.2024.3380905","relation":{},"ISSN":["0018-9219","1558-2256"],"issn-type":[{"type":"print","value":"0018-9219"},{"type":"electronic","value":"1558-2256"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}