Results 21 to 30 of about 17,255 (243)
Feature Pyramid Networks for Object Detection [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 Feature pyramids are a basic component in recognition systems for detecting objects at different scales. But recent deep learning object detectors have avoided pyramid representations, in part because they are compute and memory intensive. In this paper, we exploit the inherent multi-scale, pyramidal hierarchy of deep convolutional networks to ...
Lin, Tsung-Yi +5 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 In this article, we propose an effective siamese feature pyramid network (FPN), ForkNet, for remote sensing change detection (RSCD). We find that the siamese network structure, which is widely used for RSCD, contains only one downsampling network in the ...
Haoming He +3 more
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Feature Pyramid Network for Multi-class Land Segmentation [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018 Semantic segmentation is in-demand in satellite imagery processing. Because of the complex environment, automatic categorization and segmentation of land cover is a challenging problem. Solving it can help to overcome many obstacles in urban planning, environmental engineering or natural landscape monitoring.
Seferbekov, Selim S. +3 more
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Quasi-Equilibrium Feature Pyramid Network for Salient Object Detection
IEEE Transactions on Image Processing, 2022 Modern saliency detection models are based on the encoder-decoder framework and they use different strategies to fuse the multi-level features between the encoder and decoder to boost representation power. Motivated by recent work in implicit modelling, we propose to introduce an implicit function to simulate the equilibrium state of the feature ...
Song, Yue +5 more
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Multi-Level Refinement Feature Pyramid Network for Scale Imbalance Object Detection
IEEE Access, 2021 Object detection becomes a challenge due to diversity of object scales. In general, modern object detectors use feature pyramid to learn multi-scale representation for better results.
Lubna Aziz +5 more
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AtICNet: semantic segmentation with atrous spatial pyramid pooling in image cascade network
EURASIP Journal on Wireless Communications and Networking, 2019 This paper describes a new type of image segmentation method based on deep convolutional neural networks (DCNN) in the actual autonomous driving scene.
Jin Chen, Chuanya Wang, Ying Tong
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Optical Remote Sensing Image Target Detection Based on Improved Feature Pyramid
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 At present, many deep-convolution-based remote sensing image target detection methods have been developed and have achieved higher detection accuracy and faster detection rate.
Runxi Wei +5 more
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An Enhanced Feature Pyramid Object Detection Network for Autonomous Driving
Applied Sciences, 2019 Feature Pyramid Network (FPN) builds a high-level semantic feature pyramid and detects objects of different scales in corresponding pyramid levels. Usually, features within the same pyramid levels have the same weight for subsequent object detection ...
Yutian Wu +3 more
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A Small Target Pedestrian Detection Model Based on Autonomous Driving
Journal of Advanced Transportation, 2023 Since small-target pedestrians account for a small proportion of pixels in images and lack texture features, the feature information of small-target pedestrians is often ignored in the feature extraction process, leading to reduced accuracy and poor ...
Yang Zhang +3 more
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SSRDet: Small Object Detection Based on Feature Pyramid Network
IEEE Access, 2023 Due to the increasing presence of small objects in videos or images from practical applications, small object identification is currently an extremely popular topic in the field of machine vision. Additionally, small object detection is still a difficult
Lijuan Zhang +4 more
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