{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:29:55Z","timestamp":1730266195176,"version":"3.28.0"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,18]]},"DOI":"10.1109\/ijcnn54540.2023.10191685","type":"proceedings-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T17:30:03Z","timestamp":1690997403000},"page":"01-08","source":"Crossref","is-referenced-by-count":0,"title":["Addressing Performance Inconsistency in Domain Generalization for Image Classification"],"prefix":"10.1109","author":[{"given":"Jamie","family":"Stirling","sequence":"first","affiliation":[{"name":"Durham University,Department of Computer Science,Durham,United Kingdom"}]},{"given":"Noura Al","family":"Moubayed","sequence":"additional","affiliation":[{"name":"Durham University,Department of Computer Science,Durham,United Kingdom"}]}],"member":"263","reference":[{"key":"ref13","first-page":"1","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"ganin","year":"2016","journal-title":"Journal of Machine Learning Research"},{"key":"ref35","article-title":"Imagenet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness","author":"geirhos","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref12","article-title":"Metareg: Towards domain generalization using meta-regularization","volume":"31","author":"balaji","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995347"},{"key":"ref15","first-page":"1","article-title":"Domain generalization by marginal transfer learning","volume":"22","author":"blanchard","year":"2021","journal-title":"Journal of Machine Learning Research"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2006.881731"},{"key":"ref14","article-title":"Distributionally robust neural networks","author":"sagawa","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref36","article-title":"Frustratingly simple domain generalization via image stylization","author":"somavarapu","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58542-6_5"},{"key":"ref30","first-page":"8","article-title":"Reducing domain gap via style-agnostic networks","volume":"2","author":"nam","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref11","article-title":"Invariant risk minimization","author":"arjovsky","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref33","article-title":"Ensemble of averages: Improving model selection and boosting performance in domain generalization","author":"arpit","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref10","article-title":"Learning to balance specificity and invariance for in and out of domain generalization","author":"chattopadhyay","year":"2020","journal-title":"ECCV"},{"key":"ref32","article-title":"Swad: Domain generalization by seeking flat minima","author":"cha","year":"2021","journal-title":"Neural Information Processing Systems (NeurIPS)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/628"},{"key":"ref1","article-title":"Domain generalization via invariant feature representation","author":"muandet","year":"2013","journal-title":"ICML"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6123"},{"key":"ref39","first-page":"10","article-title":"Style augmentation: data augmentation via style randomization","volume":"6","author":"jackson","year":"0","journal-title":"CVPR Workshops"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053273"},{"key":"ref38","article-title":"Adaptive methods for aggregated domain generalization","author":"thomas","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00566"},{"key":"ref18","article-title":"Improve unsupervised domain adaptation with mixup training","author":"yan","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref24","article-title":"Domain generalization with mixstyle","author":"zhou","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref23","first-page":"124","author":"huang","year":"2020","journal-title":"Self-challenging improves cross-domain generalization"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00936"},{"key":"ref25","first-page":"16 096","article-title":"Domain generalization via entropy regularization","volume":"33","author":"zhao","year":"2020","journal-title":"Advances in neural information processing systems"},{"journal-title":"Out-of-distribution generalization via risk extrapolation ( re x)","year":"2021","author":"krueger","key":"ref20"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"journal-title":"Adaptive risk minimization A meta-learning approach for tackling group shift","year":"2021","author":"zhang","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.33"},{"key":"ref28","article-title":"Learning from extrinsic and intrinsicsupervisions for domain generalization","author":"wang","year":"2020","journal-title":"ECCV"},{"journal-title":"Statistical Learning Theory","year":"1998","author":"vapnik","key":"ref27"},{"key":"ref29","article-title":"Deep coral: Correlation alignment for deep domain adaptation","author":"sun","year":"0","journal-title":"ECCV Workshops"},{"key":"ref8","article-title":"Conditional adversarial domain adaptation","volume":"31","author":"long","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.572"},{"key":"ref9","article-title":"Domain generalization via model-agnostic learning of semantic features","volume":"32","author":"dou","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref4","first-page":"770","author":"he","year":"2016","journal-title":"Deep residual learning for image recognition"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.591"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00149"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref40","article-title":"In search of lost domain generalization","author":"gulrajani","year":"0","journal-title":"International Conference on Learning Representations"}],"event":{"name":"2023 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2023,6,18]]},"location":"Gold Coast, Australia","end":{"date-parts":[[2023,6,23]]}},"container-title":["2023 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10190990\/10190992\/10191685.pdf?arnumber=10191685","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T17:43:50Z","timestamp":1692639830000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10191685\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/ijcnn54540.2023.10191685","relation":{},"subject":[],"published":{"date-parts":[[2023,6,18]]}}}