ShipYOLO: An Enhanced Model for Ship Detection

Intelligent Recognition System Based on Contour Accentuation for Navigation Marks

(2021) Yanke Du et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

Improved YOLOv3 Based on Attention Mechanism for Fast and Accurate Ship Detection in Optical Remote Sensing Images

(2021) Liqiong Chen et al.   Remote Sensing

Ship Detection and Tracking in Inland Waterways Using Improved YOLOv3 and Deep SORT

(2021) Yang Jie et al.   Symmetry-Basel

An Automatic Analog Instrument Reading System Using Computer Vision and Inspection Robot

(2020) Jian Huang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Lightweight Ship Detection Methods Based on YOLOv3 and DenseNet

(2020) Zhelin Li et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Sea–Sky Line and its Nearby Ships Detection Based on the Motion Attitude of Visible Light Sensors

(2019) Shan et al.   SENSORS

Combining a single shot multibox detector with transfer learning for ship detection using sentinel-1 SAR images

(2018) Yuanyuan Wang et al.   Remote Sensing Letters

Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks

(2018) Marios M. Anthimopoulos et al.   IEEE Journal of Biomedical and Health Informatics

SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection

(2018) Zhenfeng Shao et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

(2015) Kaiming He et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Object Detection with Discriminatively Trained Part-Based Models

(2009) P F Felzenszwalb et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE