SAR ship detection dataset (SSDD): Official release and comprehensive data analysis
SAR Ship Detection Dataset (SSDD) is the first open dataset that is widely used to research
state-of-the-art technology of ship detection from Synthetic Aperture Radar (SAR) imagery …
state-of-the-art technology of ship detection from Synthetic Aperture Radar (SAR) imagery …
RetinaNet with difference channel attention and adaptively spatial feature fusion for steel surface defect detection
Surface defect detection of products is an important process to guarantee the quality of
industrial production. A defect detection task aims to identify the specific category and …
industrial production. A defect detection task aims to identify the specific category and …
Deep learning for unmanned aerial vehicle-based object detection and tracking: A survey
Owing to effective and flexible data acquisition, unmanned aerial vehicles (UAVs) have
recently become a hotspot across the fields of computer vision (CV) and remote sensing …
recently become a hotspot across the fields of computer vision (CV) and remote sensing …
On improving bounding box representations for oriented object detection
Detecting objects in remote sensing images (RSIs) using oriented bounding boxes (OBBs) is
flourishing but challenging, wherein the design of OBB representations is the key to …
flourishing but challenging, wherein the design of OBB representations is the key to …
Rotation-aware and multi-scale convolutional neural network for object detection in remote sensing images
K Fu, Z Chang, Y Zhang, G Xu, K Zhang… - ISPRS Journal of …, 2020 - Elsevier
Object detection plays an important role in the field of remote sensing imagery analysis. The
most challenging issues in advancing this task are the large variation in object scales and …
most challenging issues in advancing this task are the large variation in object scales and …
Arbitrary shape scene text detection with adaptive text region representation
Scene text detection attracts much attention in computer vision, because it can be widely
used in many applications such as real-time text translation, automatic information entry …
used in many applications such as real-time text translation, automatic information entry …
Textmountain: Accurate scene text detection via instance segmentation
In this paper, we propose a novel scene text detection method named TextMountain. The
key idea of TextMountain is making full use of border-center information. Different from …
key idea of TextMountain is making full use of border-center information. Different from …
Arbitrary-oriented ship detection through center-head point extraction
F Zhang, X Wang, S Zhou, Y Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Ship detection in remote sensing images plays a crucial role in various applications and has
drawn increasing attention in recent years. However, existing arbitrary-oriented ship …
drawn increasing attention in recent years. However, existing arbitrary-oriented ship …
Hierarchical mask prompting and robust integrated regression for oriented object detection
Object detection in remote sensing images has garnered significant attention due to its wide
applications in real-world scenarios. However, most existing oriented object detectors still …
applications in real-world scenarios. However, most existing oriented object detectors still …
Scattering-keypoint-guided network for oriented ship detection in high-resolution and large-scale SAR images
Ship detection in synthetic aperture radar (SAR) images is a significant and challenging
task. Recently, deep convolutional neural networks have been applied to solve the detection …
task. Recently, deep convolutional neural networks have been applied to solve the detection …