4.5 Article

FFR-SSD: feature fusion and reconstruction single shot detector for multi-scale object detection

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

SLMS-SSD: Improving the balance of semantic and spatial information in object detection

Kunfeng Wang et al.

Summary: This article proposes a self-learning multi-scale object detection network, named SLMS-SSD, which balances the semantic information and spatial information to effectively improve the accuracy of object detection, especially for small object detection.

EXPERT SYSTEMS WITH APPLICATIONS (2022)

Article Engineering, Multidisciplinary

Fast vehicle detection algorithm in traffic scene based on improved SSD

Zhichao Chen et al.

Summary: This paper proposes an improved SSD algorithm for fast detection of vehicles in complex traffic scenes. By using MobileNet v2 as the feature extraction network and incorporating channel attention mechanism and deconvolution module, the algorithm achieves improved inference speed and prediction accuracy.

MEASUREMENT (2022)

Review Computer Science, Artificial Intelligence

Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review

Guoguang Du et al.

Summary: This paper provides a comprehensive overview of vision-based robotic grasping, focusing on key tasks such as object localization, object pose estimation, and grasp estimation. Various methods combining these tasks, including traditional and deep learning-based approaches, are reviewed in detail. Challenges and future directions in the field are also highlighted.

ARTIFICIAL INTELLIGENCE REVIEW (2021)

Article Agriculture, Multidisciplinary

MEAN-SSD: A novel real-time detector for apple leaf diseases using improved light-weight convolutional neural networks

Henan Sun et al.

Summary: This study proposes a lightweight CNN model for real-time detection of apple leaf diseases on mobile devices. By constructing a dataset and introducing new modules, efficient and accurate detection of 5 common apple leaf diseases on mobile devices has been successfully achieved.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)

Article Computer Science, Information Systems

Enhanced SSD with interactive multi-scale attention features for object detection

Shuren Zhou et al.

Summary: The Single Shot MultiBox Detector(SSD) uses multi-scale feature maps for object detection and has outstanding performance. However, as a one-stage detection method, SSD struggles to quickly identify significant areas of objects. Our proposed enhanced SSD method, MA-SSD, utilizes interactive multi-scale attention features to improve feature representation and detection accuracy, while ensuring detection efficiency through a parallel structure. This method achieves competitive performance on the public dataset PascalVOC.

MULTIMEDIA TOOLS AND APPLICATIONS (2021)

Article Engineering, Electrical & Electronic

FD-SSD: An improved SSD object detection algorithm based on feature fusion and dilated convolution

Qunjie Yin et al.

Summary: The paper proposes an improved Single Shot multi-box Detector based on feature fusion and dilated convolution (FD-SSD) to address the challenging task of small object detection in computer vision. By utilizing multi-layer feature fusion and multi-branch residual dilated convolution modules, the proposed network achieves significant improvement in detecting small objects.

SIGNAL PROCESSING-IMAGE COMMUNICATION (2021)

Article Computer Science, Information Systems

FastUAV-NET: A Multi-UAV Detection Algorithm for Embedded Platforms

Amir Yavariabdi et al.

Summary: The paper proposes a real-time deep learning framework for detecting and tracking UAVs in video streams. This framework consists of two steps: intra-frame multi-UAV detection and inter-frame multi-UAV tracking. The use of a new multi-scale UAV detection CNN architecture and Inception blocks results in more accurate UAV detection.

ELECTRONICS (2021)

Article Engineering, Electrical & Electronic

Study on a New Power Frequency Capacitive Voltage Transducer for Gas Insulated Substations Based on Capacitive Voltage Division

Binxian Lu et al.

Summary: This article proposes a new voltage measurement method based on capacitive voltage divider for gas insulated switchgear (GIS). By establishing equivalent circuits and numerical simulation models, the transfer relation and accuracy of the measurement system are analyzed using finite element method.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)

Article Computer Science, Artificial Intelligence

Mask-guided SSD for small-object detection

Chang Sun et al.

Summary: The proposed guided SSD (Mask-SSD) model enhances the detection of small objects by adding contextual information and segmentation mask. The feature-fusion module and segmentation branch are key components in improving performance.

APPLIED INTELLIGENCE (2021)

Article Computer Science, Information Systems

DF-SSD: An Improved SSD Object Detection Algorithm Based on DenseNet and Feature Fusion

Sheping Zhai et al.

IEEE ACCESS (2020)

Proceedings Paper Optics

Extend the shallow part of Single Shot MultiBox Detector via Convolutional Neural Network

Liwen Zheng et al.

TENTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2018) (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Fast R-CNN

Ross Girshick

2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)