{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T22:15:30Z","timestamp":1757542530659},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10650599","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:35:05Z","timestamp":1725903305000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["FSAD:Few-Shot Object Detection via Aggregation and Disentanglement"],"prefix":"10.1109","author":[{"given":"Yunfeng","family":"Kou","sequence":"first","affiliation":[{"name":"Sichuan University,College of Computer Science, National Key Laboratory of Fundamental Science on Synthetic Vision,Chengdu,China"}]},{"given":"Kunming","family":"Wu","sequence":"additional","affiliation":[{"name":"Sichuan University,College of Computer Science,Chengdu,China"}]},{"given":"Chenghao","family":"Huang","sequence":"additional","affiliation":[{"name":"Sichuan University,National Key Laboratory of Fundamental Science on Synthetic Vision,Chengdu,China"}]},{"given":"Hu","family":"Chen","sequence":"additional","affiliation":[{"name":"Sichuan University,National Key Laboratory of Fundamental Science on Synthetic Vision,Chengdu,China"}]},{"given":"Wenchao","family":"Du","sequence":"additional","affiliation":[{"name":"Sichuan University,National Key Laboratory of Fundamental Science on Synthetic Vision,Chengdu,China"}]},{"given":"Hong","family":"Liu","sequence":"additional","affiliation":[{"name":"Sichuan University,College of Computer Science, National Key Laboratory of Fundamental Science on Synthetic Vision,Chengdu,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11716"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00967"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref5","article-title":"Imagenet classification with deep convolutional neural networks","author":"Krizhevsky","year":"2012","journal-title":"NeurIPS"},{"key":"ref6","article-title":"Frustratingly simple few-shot object detection","author":"Wang","year":"2020","journal-title":"ICML"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00727"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00407"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"article-title":"Over Feat: Integrated Recognition, Localization and Detecti on using Convolutional Networks","year":"2013","author":"Sermanet","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00851"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2021.3125195"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3195735"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00525"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i2.25274"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i1.25153"},{"article-title":"beta-vae: Learning basic visualconcepts with a constrained variational framework","volume-title":"International Conference on Learning Representations","author":"Higgins","key":"ref18"},{"key":"ref19","first-page":"2180","article-title":"Infogan: Interpretable representation learning by information maximizing generative adversarial nets","volume-title":"Proceedings of the 30th International Conference on Neural Information Processing Systems","author":"Chen"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3156\/jsoft.29.5_177_2"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19959"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00856"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00943"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00727"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2022.103689"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00947"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2024,6,30]]},"location":"Yokohama, Japan","end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10650599.pdf?arnumber=10650599","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T05:34:47Z","timestamp":1725946487000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10650599\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10650599","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}