Results 11 to 20 of about 17,255 (243)
Pyramid-Net: Intra-layer Pyramid-Scale Feature Aggregation Network for Retinal Vessel Segmentation [PDF]
Frontiers in Medicine, 2021 Retinal vessel segmentation plays an important role in the diagnosis of eye-related diseases and biomarkers discovery. Existing works perform multi-scale feature aggregation in an inter-layer manner, namely inter-layer feature aggregation.
Jiawei Zhang +16 more
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Cross-Layer Feature Pyramid Network for Salient Object Detection [PDF]
IEEE Transactions on Image Processing, 2021 Feature pyramid network (FPN) based models, which fuse the semantics and salient details in a progressive manner, have been proven highly effective in salient object detection. However, it is observed that these models often generate saliency maps with incomplete object structures or unclear object boundaries, due to the \emph{indirect} information ...
Zun Li +5 more
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Panoptic Feature Pyramid Networks [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 The recently introduced panoptic segmentation task has renewed our community's interest in unifying the tasks of instance segmentation (for thing classes) and semantic segmentation (for stuff classes). However, current state-of-the-art methods for this joint task use separate and dissimilar networks for instance and semantic segmentation, without ...
Kirillov, Alexander +3 more
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Pyramid Feature Attention Network for Saliency Detection [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Saliency detection is one of the basic challenges in computer vision. How to extract effective features is a critical point for saliency detection. Recent methods mainly adopt integrating multi-scale convolutional features indiscriminately. However, not all features are useful for saliency detection and some even cause interferences.
Zhao, Ting, Wu, Xiangqian
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Global Feature Pyramid Network
, 2023 dataset not ...
Xiao, Weilin, Xu, Ming, Lin, Yonggui
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Pyramid Attention Upsampling Module for Object Detection
IEEE Access, 2022 The core task of object detection is to extract features of various sizes by hierarchically stacking multi-scale feature maps. However, it is not easy to decide whether we should transmit semantic information to the low layers while reducing the loss of ...
Hyeokjin Park, Joonki Paik
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Multiscale Feature Learning Based on Enhanced Feature Pyramid for Vehicle Detection
Complexity, 2021 Vehicle detection is a crucial task in autonomous driving systems. Due to large variance of scales and heavy occlusion of vehicle in an image, this task is still a challenging problem. Recent vehicle detection methods typically exploit feature pyramid to
Hoanh Nguyen
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Channel space weighted fusion-oriented feature pyramid network for motor imagery EEG signal recognition [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2022 In order to solve the problems of weak generalization ability and low classification accuracy in motor imagery EEG signal classification, this paper proposes a channel space weighted fusion-oriented feature pyramid network for motor imagery
Wenhao Yang
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MethodsX, 2021 In this article, we introduce a structural analysis model to analyze the characteristics of the communication network structure of pyramid scheme organizations.
Pihu Feng +4 more
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IEEE Access, 2021 Based on the good feature learning ability of the pyramid scene parsing network, a method for extracting the centerline of structured light stripes of weld lines based on the pyramid scene parsing network and Steger algorithm is proposed.
Weibo Yu +3 more
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