{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T00:10:56Z","timestamp":1730247056046,"version":"3.28.0"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T00:00:00Z","timestamp":1665878400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T00:00:00Z","timestamp":1665878400000},"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":[[2022,10,16]]},"DOI":"10.1109\/icip46576.2022.9897423","type":"proceedings-article","created":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T21:27:24Z","timestamp":1667510844000},"page":"4163-4167","source":"Crossref","is-referenced-by-count":0,"title":["Width-Wise Parameter Sharing for Multi-Domain Gan Learning"],"prefix":"10.1109","author":[{"given":"Ryan","family":"Webster","sequence":"first","affiliation":[{"name":"Normandie Univ.,UNICAEN, ENSICAEN, CNRS, GREYC,Caen,France,14000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julien","family":"Rabin","sequence":"additional","affiliation":[{"name":"Normandie Univ.,UNICAEN, ENSICAEN, CNRS, GREYC,Caen,France,14000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Loic","family":"Simon","sequence":"additional","affiliation":[{"name":"Normandie Univ.,UNICAEN, ENSICAEN, CNRS, GREYC,Caen,France,14000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Frederic","family":"Jurie","sequence":"additional","affiliation":[{"name":"Normandie Univ.,UNICAEN, ENSICAEN, CNRS, GREYC,Caen,France,14000"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/CVPR42600.2020.00813"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/CVPR42600.2020.00935"},{"year":"2020","author":"Mo","article-title":"Freeze discriminator: A simple baseline for fine-tuning gans","key":"ref3"},{"key":"ref4","article-title":"Training generative adversarial networks with limited data","volume":"33","author":"Karras","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"volume-title":"Conference on Neural Information Processing Systems (NeurIPS)","author":"Zhao","article-title":"Differentiable augmentation for data-efficient gan training","key":"ref5"},{"volume-title":"International Conference on Learning Representations","author":"Brock","article-title":"Large scale gan training for high fidelity natural image synthesis","key":"ref6"},{"key":"ref7","article-title":"Differentiable augmentation for data-efficient gan training","volume":"33","author":"Zhao","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref8","first-page":"7354","article-title":"Self-attention generative adversarial networks","volume-title":"International conference on machine learning","author":"Zhang"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1007\/978-3-030-01219-9_11"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1109\/CVPR42600.2020.00821"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref12","first-page":"5962","article-title":"Memory replay gans: Learning to generate new categories without forgetting","volume":"31","author":"Wu","year":"2018","journal-title":"Advances in Neural Information Processing Systems"},{"year":"2020","author":"Cong","article-title":"Gan memory with no forgetting","key":"ref13"},{"key":"ref14","first-page":"11340","article-title":"On leveraging pretrained gans for generation with limited data","volume-title":"International Conference on Machine Learning","author":"Zhao"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/ICCV.2017.167"}],"event":{"name":"2022 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2022,10,16]]},"location":"Bordeaux, France","end":{"date-parts":[[2022,10,19]]}},"container-title":["2022 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9897158\/9897159\/09897423.pdf?arnumber=9897423","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T21:11:34Z","timestamp":1705957894000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9897423\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,16]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/icip46576.2022.9897423","relation":{},"subject":[],"published":{"date-parts":[[2022,10,16]]}}}