Vessel Detection
9 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Vessel Detection
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Libraries
Use these libraries to find Vessel Detection models and implementations
Vessel detection Dateset
Most implemented papers
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
rbgirshick/py-faster-rcnn
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NeurIPS 2015
In this work, we introduce a Region Proposal Network (RPN) that shares full-image convolutional features with the detection network, thus enabling nearly cost-free region proposals.
Deformable Convolutional Networks
msracver/Deformable-ConvNets
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ICCV 2017
Convolutional neural networks (CNNs) are inherently limited to model geometric transformations due to the fixed geometric structures in its building modules.
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Guzaiwang/CE-Net
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In this paper, we propose a context encoder network (referred to as CE-Net) to capture more high-level information and preserve spatial information for 2D medical image segmentation.
Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways
To further improve vessel traffic surveillance, it becomes necessary to fuse the AIS and video data to simultaneously capture the visual features, identity and dynamic information for the vessels of interest.
Ensemble of Deep Convolutional Neural Networks for Learning to Detect Retinal Vessels in Fundus Images
In this work we present a computational imaging framework using deep and ensemble learning for reliable detection of blood vessels in fundus color images.
An Active Contour Model Using Matched Filter and Hessian Matrix for Retinal Vessels Segmentation
To prevent the destruction of the stability of evolution, we used an optimization process formula whose task is to keep contour on the edges of the image.
Real-Time Event-Based Tracking and Detection for Maritime Environments
Event cameras are ideal for object tracking applications due to their ability to capture fast-moving objects while mitigating latency and data redundancy.
A Sequence Agnostic Multimodal Preprocessing for Clogged Blood Vessel Detection in Alzheimer's Diagnosis
swapnil-saha/Alzheimers-Stall-Catchers
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Successful identification of blood vessel blockage is a crucial step for Alzheimer's disease diagnosis.
Image and AIS Data Fusion Technique for Maritime Computer Vision Applications
This demonstrates the potential of our approach in creating datasets for vessel detection, pose estimation and auto-labelling pipelines.
