YOLOTrashCan: A Deep Learning Marine Debris Detection Network-Reference-Cited by-同舟云学术

YOLOTrashCan: A Deep Learning Marine Debris Detection Network

Published:2023 Issue: Volume:72 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhou Wei¹^ORCID,Zheng Fujian²^ORCID,Yin Gang³^ORCID,Pang Yiran⁴^ORCID,Yi Jun¹^ORCID

Affiliation:

1. School of Intelligent Technology and Engineering, Chongqing University of Science and Technology, Chongqing, China

2. College of Optoelectronic Engineering, Chongqing University, Chongqing, China

3. College of Resource and Safety Engineering and the State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing, China

4. Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA

Funder

Cooperation Project between Chongqing Municipal undergraduate universities and institutes affiliated to the Chinese Academy of Sciences

Science and Technology Research Program of the Chongqing Municipal Education Commission

Open Foundation of the Chongqing Key Laboratory for Oil and Gas Production Safety and Risk Control

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/09964179.pdf?arnumber=9964179

Reference35 articles.

1. Multi-scale context aggregation by dilated convolutions;yu;arXiv 1511 07122,2015

2. Receptive Field Block Net for Accurate and Fast Object Detection

3. Feature Pyramid Networks for Object Detection

4. ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

5. TrashCan: A semantically-segmented dataset towards visual detection of marine debris;hong;arXiv 2007 08097,2020

Cited by 14 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. Deep learning for electrolysis process anode effect prediction based on long short-term memory network and stacked denoising autoencoder;Rare Metals;2024-07-11

2. Visual Detection of Marine Debris Using RTMDet;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10

3. Automated marine litter investigation for underwater images using a zero-shot pipeline;Environmental Modelling & Software;2024-06

4. Edge‐guided representation learning for underwater object detection;CAAI Transactions on Intelligence Technology;2024-04

5. DiffWater: Underwater Image Enhancement Based on Conditional Denoising Diffusion Probabilistic Model;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024