A novel finetuned YOLOv8 model for real-time underwater trash detection
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11554-024-01439-3.pdf
Reference38 articles.
1. Namadi, P., Deng, Z.: Deep learning-based ensemble modeling of Vibrio parahaemolyticus concentration in marine environment. Environ. Monit. Assess.Monit. Assess. (2023). https://doi.org/10.1007/s10661-022-10836-9
2. Zhao, W., Han, F., Qiu, X., Peng, X., Zhao, Y., Zhang, J.: Research on the identification and distribution of biofouling using underwater cleaning robot based on deep learning. Ocean Eng. 273, 113909 (2023). https://doi.org/10.1016/j.oceaneng.2023.113909
3. Xu, S., Zhang, M., Song, W., Mei, H., He, Q., Liotta, A.: A systematic review and analysis of deep learning-based underwater object detection. Neurocomputing 527, 204–232 (2023). https://doi.org/10.1016/j.neucom.2023.01.056
4. Farid, A., Hussain, F., Khan, K., Shahzad, M., Khan, U., Mahmood, Z.: A fast and accurate real-time vehicle detection method using deep learning for unconstrained environments. Appl. Sci. (2023). https://doi.org/10.3390/app13053059
5. Sangeeta, G.P.: Improved video compression using variable emission step ConvGRU based architecture. Lect. Notes Data Eng. Commun. Technol. 61, 405–415 (2021). https://doi.org/10.1007/978-981-33-4582-9_31/COVER
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. PODI: A Private Object Detection Inference framework for autonomous vehicles;Knowledge-Based Systems;2024-10
2. Tracking the real-time position of an ocean sensor/buoy-like cylindrical target using a depth sensing camera and a computational edge device;Optics Continuum;2024-09-11
3. Analysis of recent techniques in marine object detection: a review;Multimedia Tools and Applications;2024-07-11
4. Safety helmet detection based on improved YOLOv7-tiny with multiple feature enhancement;Journal of Real-Time Image Processing;2024-06-25
5. DYOLO: A Novel Object Detection Model for Multi-scene and Multi-object Based on an Improved D-Net Split Task Model is Proposed;Lecture Notes in Computer Science;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3