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   Articles with "shot object" as a keyword



Channel spatial attention based single-shot object detector for autonomous vehicles

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recommendations! Published in 2021 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-021-11267-3

Abstract: Real-time object detection with high accuracy is the measure concern for the autonomous vehicle to provide safety. Recently many state-of-the-art methods used Convolutional Neural Network (CNN) for object detection. Although these methods provide better results… read more here.

Keywords: detection; spatial attention; shot object; single shot ... See more keywords

A Review: One-Shot Object Detection Methods for Conditional Detection of Retail and Warehouse Products

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recommendations! Published in 2025 at "Neural Processing Letters"

DOI: 10.1007/s11063-025-11742-0

Abstract: Facilitating the rapid dispatch and replenishment of products is a critical task in most large warehouses. Automated systems often rely on Deep Learning based object detection methods to monitor operations. A major challenge is the… read more here.

Keywords: detection; conditional detection; object detection; one shot ... See more keywords

Few-shot object detection in remote sensing using class-decoupled GAN for pseudo-sample classification and regression

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recommendations! Published in 2025 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2025.2565836

Abstract: ABSTRACT Compared to object detection tasks with abundant annotated data, few-shot object detection (FSOD) faces a scarcity of samples for novel classes, which makes it difficult to achieve satisfactory accuracy and severely limits the development… read more here.

Keywords: object detection; shot object; class; remote sensing ... See more keywords
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Few-Shot Object Detection With Self-Adaptive Attention Network for Remote Sensing Images

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recommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2021.3078177

Abstract: In remote sensing field, there are many applications of object detection in recent years, which demands a great number of labeled data. However, we may be faced with some cases where only limited data are… read more here.

Keywords: self adaptive; remote sensing; attention; object detection ... See more keywords

Few-Shot Object Detection With Contrastive Enhancement Loss Guided by Object Association Graph in Remote Sensing Images

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recommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3606631

Abstract: Object detection in remote sensing images is widely used in military reconnaissance and environmental monitoring, but the high cost of obtaining large-scale labeled data limits the popularity of deep learning methods. Although few-shot learning methods… read more here.

Keywords: detection; object detection; shot object; remote sensing ... See more keywords

Few-Shot Object Detection via Context-Aware Aggregation for Remote Sensing Images

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3171257

Abstract: Few-shot object detection methods have made prodigious progress in recent years. However, these methods are designed for optical images at a single scale, which leads to significantly degraded detection performance due to object scale variation… read more here.

Keywords: shot object; remote sensing; detection; object detection ... See more keywords

Few-Shot Object Detection in Remote Sensing Images With Multiscale Spatial Selective Attention

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recommendations! Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2024.3423796

Abstract: Few-shot object detection (FSOD) leverages limited labeled data and substantial unlabeled data for detection. However, these approaches mainly target natural images and ignore the spatial relationships and contextual information between objects in remote sensing images… read more here.

Keywords: detection; object detection; attention; shot object ... See more keywords

FS$^{2}$D: Fully Sparse Few-Shot 3D Object Detection

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recommendations! Published in 2025 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2025.3560868

Abstract: Corner cases are a focal issue in current autonomous driving systems, with a significant portion attributed to few-shot detection. Due to the sparse distribution of point cloud data and the real-time requirements of autonomous driving,… read more here.

Keywords: detection; sparse shot; object detection; fully sparse ... See more keywords

SGFNet: Structure-Guided Few-Shot Object Detection

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recommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2024.3507863

Abstract: Few-shot object detection (FSOD) focuses on detecting objects of novel classes with only a small number of annotated samples. Due to the limited number of new class samples and the presence of intra-class variance, current… read more here.

Keywords: information; object detection; guided shot; shot object ... See more keywords

Solo-to-Collaborative Dual-Attention Network for One-Shot Object Detection in Remote Sensing Images

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recommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2021.3091003

Abstract: In this article, we attempt to achieve one-shot object detection by mimicking the human ability to learn new concepts under limited reference, which aims at detecting all object instances of an unseen class in a… read more here.

Keywords: object detection; image; one shot; shot ... See more keywords

FSODS: A Lightweight Metalearning Method for Few-Shot Object Detection on SAR Images

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3192996

Abstract: At present, few-shot object detection research in the field of optical remote sensing images has been conducted, but few-shot object detection in the field of synthetic aperture radar (SAR) images has rarely been explored. To… read more here.

Keywords: shot object; detection; object detection; method ... See more keywords