{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T16:19:45Z","timestamp":1772727585320,"version":"3.50.1"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Framework of Project Atlas\u2014Trusted Autonomous Navigation","award":["01\/RPA\/2022-C679908640-00009887 (COMPETE2030)"],"award-info":[{"award-number":["01\/RPA\/2022-C679908640-00009887 (COMPETE2030)"]}]},{"name":"National Funds through the Portuguese Funding Agency, Funda\u00e7 ao para a Ci&ehat;ncia e a Tecnologia","award":["LA\/P\/0063\/2020"],"award-info":[{"award-number":["LA\/P\/0063\/2020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2023.3347038","type":"journal-article","created":{"date-parts":[[2023,12,25]],"date-time":"2023-12-25T20:13:53Z","timestamp":1703535233000},"page":"2623-2634","source":"Crossref","is-referenced-by-count":7,"title":["Intrinsic Explainability for End-to-End Object Detection"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8306-3362","authenticated-orcid":false,"given":"Lu\u00eds","family":"Fernandes","sequence":"first","affiliation":[{"name":"Faculty of Engineering, University of Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0590-4861","authenticated-orcid":false,"given":"Jo\u00e3o N. D.","family":"Fernandes","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, University of Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3719-811X","authenticated-orcid":false,"given":"Mariana","family":"Calado","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, University of Porto, Portugal"}]},{"given":"Jo\u00e3o Ribeiro","family":"Pinto","sequence":"additional","affiliation":[{"name":"Bosch Car Multim&#x00E9;dia, Braga, S.A., Portugal"}]},{"given":"Ricardo","family":"Cerqueira","sequence":"additional","affiliation":[{"name":"Bosch Car Multim&#x00E9;dia, Braga, S.A., Portugal"}]},{"given":"Jaime S.","family":"Cardoso","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, University of Porto, Portugal"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/cancers13236113"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1186\/1475-925X-13-S1-S1"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0260609"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01657-x"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2021.3104254"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1424"},{"key":"ref7","first-page":"1","article-title":"Opportunities and challenges in explainable artificial intelligence (XAI): A survey","volume-title":"Proc. Comput. Vis. Pattern Recognit.","author":"Das"},{"key":"ref8","first-page":"1","article-title":"Striving for simplicity: The all convolutional net","volume-title":"Proc. 3rd Int. Conf. Learn. Represent. (ICLR) Workshop","author":"Springenberg"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01228-7"},{"key":"ref10","article-title":"VisualBackProp: Visualizing CNNs for autonomous driving","author":"Bojarski","year":"2016","journal-title":"arXiv:1611.05418"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-3020"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2021.104310"},{"key":"ref13","first-page":"1","article-title":"Neural additive models: Interpretable machine learning with neural nets","volume-title":"Proc. NeurIPS","author":"Agarwal"},{"key":"ref14","first-page":"4186","article-title":"Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (TCAV)","volume-title":"Proc. 35th Int. Conf. Mach. Learn. (ICML)","volume":"6","author":"Kim"},{"key":"ref15","article-title":"Explaining classifiers with causal concept effect (CaCE)","author":"Goyal","year":"2019","journal-title":"arXiv:1907.07165"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-00265-z"},{"key":"ref17","article-title":"This looks like that: Deep learning for interpretable image recognition","author":"Chen","year":"2018","journal-title":"arXiv:1806.10574"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2021.104353"},{"key":"ref19","article-title":"Opportunities and challenges in explainable artificial intelligence (XAI): A survey","author":"Das","year":"2020","journal-title":"arXiv:2006.11371"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/e23010018"},{"key":"ref21","first-page":"1","article-title":"Deep inside convolutional networks: Visualising image classification models and saliency maps","volume-title":"Proc. 2nd Int. Conf. Learn. Represent. (ICLR) Workshop","author":"Simonyan"},{"key":"ref22","first-page":"4844","article-title":"Learning important features through propagating activation differences","volume-title":"Proc. 34th Int. Conf. Mach. Learn. (ICML)","volume":"7","author":"Shrikumar"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0048-x"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/make3030033"},{"key":"ref25","first-page":"1","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Ren"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-022-01328-z"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.4329\/wjr.v9.i9.359"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/make2010001"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3455008"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10380310\/10373851.pdf?arnumber=10373851","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T00:37:21Z","timestamp":1705106241000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10373851\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3347038","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}