{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T07:50:18Z","timestamp":1783065018409,"version":"3.54.6"},"reference-count":46,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,8]],"date-time":"2022-10-08T00:00:00Z","timestamp":1665187200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,8]],"date-time":"2022-10-08T00:00:00Z","timestamp":1665187200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100011319","name":"Research Project of Jianghan University","doi-asserted-by":"publisher","award":["3015\u201308210173"],"award-info":[{"award-number":["3015\u201308210173"]}],"id":[{"id":"10.13039\/501100011319","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,10,8]]},"DOI":"10.1109\/itsc55140.2022.9921989","type":"proceedings-article","created":{"date-parts":[[2022,11,4]],"date-time":"2022-11-04T01:40:13Z","timestamp":1667526013000},"page":"2154-2160","source":"Crossref","is-referenced-by-count":9,"title":["Lightweight and Optimization Acceleration Methods for Vision Transformer: A Review"],"prefix":"10.1109","author":[{"given":"Meng","family":"Chen","sequence":"first","affiliation":[{"name":"School of Smart Manufacturing, Jianghan University,Wuhan,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Smart Manufacturing, Jianghan University,Wuhan,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wuxin","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Smart Manufacturing, Jianghan University,Wuhan,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"6000","volume-title":"Attention is all you need. Proceedings of the 31st International Conference on Neural Information Processing Systems (NeurIPS)","author":"Vaswani","year":"2017"},{"key":"ref2","article-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","author":"Devlin","year":"2018","journal-title":"Computing Research Repository"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32381-3_16"},{"key":"ref4","article-title":"Incorporating BERT into Neural Machine Translation","volume-title":"Proceedings of the International Conference on Learning Representations (ICLR)","author":"Zhu","year":"2020"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.247"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1356"},{"key":"ref7","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-020-09816-7"},{"key":"ref9","article-title":"A White Paper on Neural Network Quantization","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Nagel","year":"2021"},{"key":"ref10","article-title":"Distilling the knowledge in a neural network","author":"Hinton","year":"2015","journal-title":"arXiv"},{"key":"ref11","article-title":"Pruning Filter in Filter","volume-title":"Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS)","author":"Meng","year":"2020"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.23919\/ChiCC.2018.8483963"},{"key":"ref13","article-title":"A Survey on Neural Architecture Search","author":"Wistuba","year":"2019","journal-title":"arXiv"},{"key":"ref14","article-title":"A Survey of Quantization Methods for Effificient Neural Network Inference","author":"Gholami","year":"2021","journal-title":"arXiv"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00497"},{"key":"ref16","article-title":"CMT: Convolutional Neural Networks Meet Vision Transformers","author":"Guo","year":"2021","journal-title":"arXiv"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3152247"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00681"},{"key":"ref19","article-title":"Post-Training Quantization for Vision Transformer","volume-title":"Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS)","author":"Liu","year":"2021"},{"key":"ref20","article-title":"PTQ4ViT: Post-Training Quantization Framework for Vision Transformers","author":"Yuan","year":"2021","journal-title":"arXiv:"},{"key":"ref21","article-title":"FQ-ViT: Fully Quantized Vision Transformer without Retraining","author":"Lin","year":"2021","journal-title":"arXiv"},{"key":"ref22","article-title":"Q-ViT: Fully Differentiable Quantization for Vision Transformer","author":"Li","year":"2022","journal-title":"arXiv:"},{"key":"ref23","first-page":"10347","article-title":"Training data-efficient image transformers & distillation through attention","volume-title":"Proceedings of the 38th International Conference on Machine Learning (ICML)","author":"Touvron","year":"2021"},{"key":"ref24","article-title":"Efficient Vision Transformers via Fine-Grained Manifold Distillation","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Jia","year":"2021"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747484"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01064"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01183"},{"key":"ref28","author":"Zhu","year":"2021","journal-title":"Visual transformer pruning"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01185"},{"key":"ref30","article-title":"NViT: Vision Transformer Compression and Parameter Redistribution","author":"Yang","year":"2021","journal-title":"arXiv"},{"key":"ref31","article-title":"Pruning Self-attentions into Convolutional Layers in Single Path","author":"He","year":"2021","journal-title":"arXiv:"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00060"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00061"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01172"},{"key":"ref35","article-title":"Transformer in transformer","volume-title":"Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS)","author":"Han","year":"2021"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00299"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00010"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01204"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00520"},{"key":"ref41","article-title":"MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer","author":"Mehta","year":"2021","journal-title":"arXiv:"},{"key":"ref42","article-title":"Regionvit: Regional-to-local attention for vision transformers","volume-title":"Proceedings of the International Conference on Learning Representations (ICLR)","author":"Chen","year":"2021"},{"key":"ref43","article-title":"Twins: Revisiting the Design of Spatial Attention in Vision Transformers","volume-title":"Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS)","author":"Chu","year":"2021"},{"key":"ref44"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20083-0_18"},{"key":"ref46","article-title":"EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications","author":"Maaz","year":"2022","journal-title":"arXiv:"}],"event":{"name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","location":"Macau, China","start":{"date-parts":[[2022,10,8]]},"end":{"date-parts":[[2022,10,12]]}},"container-title":["2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9921415\/9921739\/09921989.pdf?arnumber=9921989","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T04:08:22Z","timestamp":1706069302000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9921989\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,8]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/itsc55140.2022.9921989","relation":{},"subject":[],"published":{"date-parts":[[2022,10,8]]}}}