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Neural architecture search with reinforcement learning. arXiv:1611.01578. 2016."},{"key":"ref9","series-title":"Proceedings of the 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","article-title":"Squeeze-and-excitation networks","author":"Hu","year":"2018 Jun 18\u201323"},{"key":"ref10","series-title":"Proceedings of the 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","article-title":"MobileNetV2: inverted residuals and linear bottlenecks","author":"Sandler","year":"2018 Jan 13"},{"key":"ref11","series-title":"Proceedings of the International Conference on Machine Learning","article-title":"EfficientNetV2: smaller models and faster training","author":"Tan","year":"2021 Jul 18\u201324"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","article-title":"A survey on transfer learning","volume":"22","author":"Pan","year":"2010","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"ref13","unstructured":"Piosenka G. Birds 525 species-image classifcation; 2022 [cited 2025 Apr 10]. Available from: https:\/\/www.kaggle.com\/datasets\/gpiosenka\/100-bird-species."},{"key":"ref14","doi-asserted-by":"crossref","first-page":"8254130","DOI":"10.1155\/2024\/8254130","article-title":"A new efficient classifier for bird classification based on transfer learning","volume":"2024","author":"Mochurad","year":"2024","journal-title":"J Eng"},{"key":"ref15","first-page":"939","article-title":"Bird detection and species classification: using YOLOv5 and deep transfer learning models","volume":"14","author":"Vo","year":"2023","journal-title":"Int J Adv Comput Sci Appl"},{"key":"ref16","series-title":"Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","article-title":"Rethinking the inception architecture for computer vision","author":"Szegedy","year":"2016 Jun 23\u201330"},{"key":"ref17","unstructured":"Kingma DP, Ba J. 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An image is worth 16 \u00d7 16 words: transformers for image recognition at scale. arXiv:2010.11929. 2020."},{"key":"ref22","series-title":"Proceedings of the 2021 IEEE\/CVF International Conference on Computer Vision (ICCV)","article-title":"Swin transformer: hierarchical vision transformer using shifted windows","author":"Liu","year":"2021 Oct 10\u201317"},{"key":"ref23","unstructured":"Chou PY, Kao YY, Lin CH. Fine-grained visual classification with high-temperature refinement and background suppression. arXiv:2303.06442. 2023."},{"key":"ref24","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1007\/s10489-024-05846-8","article-title":"Graph-in-graph discriminative feature enhancement network for fine-grained visual classification","volume":"55","author":"Wang","year":"2025","journal-title":"Appl Intell"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"111945","DOI":"10.1016\/j.asoc.2024.111945","article-title":"Adversarially attack feature similarity for fine-grained visual classification","volume":"163","author":"Wang","year":"2024","journal-title":"Appl Soft Comput"},{"key":"ref26","series-title":"Proceedings of the 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE)","article-title":"The impact of background removal on performance of neural networks for fashion image classification and segmentation","author":"Liang","year":"2023 Jul 24\u201327"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"107404","DOI":"10.1016\/j.patcog.2020.107404","volume":"106","author":"Qin","year":"2020","journal-title":"Pattern Recognit"},{"key":"ref28","doi-asserted-by":"crossref","unstructured":"Zheng P, Gao D, Fan DP, Liu L, Laaksonen J, Ouyang W, et al. Bilateral reference for high-resolution dichotomous image segmentation. arXiv:2401.03407. 2024.","DOI":"10.26599\/AIR.2024.9150038"},{"key":"ref29","unstructured":"Lab C. NABirds dataset [Internet]. [cited 2025 Apr 10]. Available from: https:\/\/dl.allaboutbirds.org\/nabirds."},{"key":"ref30","unstructured":"Keras. EfficientNetV2B0 [Internet]. [cited 2025 Apr 10]. Available from: https:\/\/keras.io\/api\/applications."},{"key":"ref31","doi-asserted-by":"crossref","first-page":"206","DOI":"10.54254\/2755-2721\/54\/20241530","article-title":"Bird image classification based on improved ResNet-152 image classification model","volume":"54","author":"Song","year":"2024","journal-title":"Appl Comput Eng"},{"journal-title":"Bird watching in Kinmen (Guide to bird watching in Kinmen)","year":"2008","key":"ref32"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"2282","DOI":"10.1016\/j.biocon.2009.05.006","article-title":"eBird: a citizen-based bird observation network in the biological sciences","volume":"142","author":"Sullivan","year":"2009","journal-title":"Biol Conserv"}],"container-title":["Computers, Materials &amp; Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-84-1\/TSP_CMC_65048\/TSP_CMC_65048.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T01:36:43Z","timestamp":1763343403000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v84n1\/61775"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":33,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2025.065048","relation":{},"ISSN":["1546-2226"],"issn-type":[{"type":"electronic","value":"1546-2226"}],"subject":[],"published":{"date-parts":[[2025]]}}}