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Multi-object behaviour recognition based on object detection cascaded image classification in classroom scenes
For multi-object behaviour recognition in classroom scenes, crowded objects have heavy occlusion, invisible keypoints, scale variation, which...
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Cross-domain object detection by local to global object-aware feature alignment
Cross-domain object detection has attracted more and more attention recently. It reduces the gap between the two domains, where the source domain is...
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Maritime object detection using attention mechanism
The implementation of object detection in the maritime domain plays a crucial role in safeguarding maritime security, ensuring navigation safety, and...
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Benchmarking Object Detection Robustness against Real-World Corruptions
With the rapid recent development, deep learning based object detection techniques have been applied to various real-world software systems,...
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CenRadfusion: fusing image center detection and millimeter wave radar for 3D object detection
The fusion of visual and millimeter-wave radar data has emerged as a prominent solution for precise 3D object detection. This paper focuses on the...
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Low-light DEtection TRansformer (LDETR): object detection in low-light and adverse weather conditions
Object detection has recently gained popularity mainly due to the development of deep learning techniques. However, undesirable noise challenges...
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A review of 3D object detection based on autonomous driving
3D object detection is a popular research direction in recent years, which plays an important role in the fields of automatic driving, intelligent...
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Small object detection in diverse application landscapes: a survey
The importance of object detection within computer vision, especially in the context of detecting small objects, has notably increased. This thorough...
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Multi-source-free Domain Adaptive Object Detection
To enhance the transferability of object detection models in real-world scenarios where data is sampled from disparate distributions, considerable...
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Geometric relation-based feature aggregation for 3D small object detection
Point cloud-based 3D small object detection is crucial for autonomous driving and smart ships. The current 3D object detection mainly relies on...
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Regional filtering distillation for object detection
Knowledge distillation is a common and effective method in model compression, which trains a compact student model to mimic the capability of a large...
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Industrial few-shot fractal object detection
In practical industrial visual inspection tasks, foreign object data are difficult to collect and accumulate, hence few-shot object detection has...
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Depth alignment interaction network for camouflaged object detection
Many animals actively change their own characteristics, such as color and texture, through camouflage, a natural defense mechanism, making them...
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Task-decoupled interactive embedding network for object detection
Traditional object detection methods rely on manually annotated data, which can be costly and time-consuming, particularly for objects with low...
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An enhanced object detection network for ship target detection in SAR images
Deep learning techniques have made significant advancements in computer vision. The YOLO algorithm, a representative single-stage detection approach,...
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Fewer is more: efficient object detection in large aerial images
Current mainstream object detection methods for large aerial images usually divide large images into patches and then exhaustively detect the objects...
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YOLO-based Object Detection Models: A Review and its Applications
In computer vision, object detection is the classical and most challenging problem to get accurate results in detecting objects. With the significant...
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A review of small object detection based on deep learning
Small object detection is widely used in a variety of fields such as automatic driving, UAV-based object detection, and aerial image detection....
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Neighborhood sampling confidence metric for object detection
Object detection using deep learning has recently gained significant attention due to its impressive results in a variety of applications, such as...
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ARF-YOLOv8: a novel real-time object detection model for UAV-captured images detection
There are several difficulties in the task of object detection for Unmanned Aerial Vehicle (UAV) photography images, including the small size of...
