Results 11 to 20 of about 172,393 (261)
Centralized Feature Pyramid for Object Detection
IEEE Transactions on Image Processing, 2023 Visual feature pyramid has shown its superiority in both effectiveness and efficiency in a wide range of applications. However, the existing methods exorbitantly concentrate on the inter-layer feature interactions but ignore the intra-layer feature regulations, which are empirically proved beneficial.
Yu Quan +3 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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Class Feature Pyramids for Video Explanation [PDF]
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019 Deep convolutional networks are widely used in video action recognition. 3D convolutions are one prominent approach to deal with the additional time dimension. While 3D convolutions typically lead to higher accuracies, the inner workings of the trained models are more difficult to interpret. We focus on creating human-understandable visual explanations
Stergiou, A.G. +5 more
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Fast Feature Pyramids for Object Detection [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014 Multi-resolution image features may be approximated via extrapolation from nearby scales, rather than being computed explicitly. This fundamental insight allows us to design object detection algorithms that are as accurate, and considerably faster, than the state-of-the-art.
Dollár, Piotr +3 more
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Global Feature Pyramid Network
, 2023 dataset not ...
Xiao, Weilin, Xu, Ming, Lin, Yonggui
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Key morphological features of human pyramidal neurons
Cerebral Cortex, 2023 AbstractThe basic building block of the cerebral cortex, the pyramidal cell, has been shown to be characterized by a markedly different dendritic structure among layers, cortical areas, and species. Functionally, differences in the structure of their dendrites and axons are critical in determining how neurons integrate information.
Benavides Piccione, Ruth +5 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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Infrared Small UAV Target Detection Algorithm Based on Enhanced Adaptive Feature Pyramid Networks
IEEE Access, 2022 Under the explosive growth of “low-slow-small” unmanned aerial vehicles (UAVs), harassment incidents with “low-slow-small” UAVs, such as illegal surveying and mapping, no-fly zone flights, terrorist attacks, have frequently ...
Zheng Lu +4 more
doaj +1 more source
U‐FPNDet: A one‐shot traffic object detector based on U‐shaped feature pyramid module
IET Image Processing, 2021 In the field of automatic driving, identifying vehicles and pedestrians is the starting point of other automatic driving techniques. Using the information collected by the camera to detect traffic targets is particularly important. The main bottleneck of
Xiao Ke, Jianping Li
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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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