Results 41 to 50 of about 172,393 (261)
, 2020 Currently, the most widely used approach for speaker verification is the deep speaker embedding learning. In this approach, we obtain a speaker embedding vector by pooling single-scale features that are extracted from the last layer of a speaker feature ...
Choi, Yeunju +4 more
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CMOS-3D smart imager architectures for feature detection [PDF]
, 2012 This paper reports a multi-layered smart image sensor architecture for feature extraction based on detection of interest points. The architecture is conceived for 3-D integrated circuit technologies consisting of two layers (tiers) plus memory.
D. Cabello +6 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
doaj +1 more source
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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Face Spoofing Detection by Fusing Binocular Depth and Spatial Pyramid Coding Micro-Texture Features
, 2017 Robust features are of vital importance to face spoofing detection, because various situations make feature space extremely complicated to partition. Thus in this paper, two novel and robust features for anti-spoofing are proposed.
Lin, Tianwei, Song, Xiao, Zhao, Xu
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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
openaire +2 more sources
Small Object Detection Algorithm Based on Feature Pyramid-Enhanced Fusion SSD
Complexity, 2019 In order to improve the detection rate of the traditional single-shot multibox detection algorithm in small object detection, a feature-enhanced fusion SSD object detection algorithm based on the pyramid network is proposed.
Haotian Li +4 more
doaj +1 more source
RESEARCH ON FEATURE POINTS EXTRACTION METHOD FOR BINARY MULTISCALE AND ROTATION INVARIANT LOCAL FEATURE DESCRIPTOR [PDF]
ICTACT Journal on Image and Video Processing, 2014 An extreme point of scale space extraction method for binary multiscale and rotation invariant local feature descriptor is studied in this paper in order to obtain a robust and fast method for local image feature descriptor.
Hongwei Ying +5 more
doaj
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
, 2019 Feature pyramids are widely exploited by both the state-of-the-art one-stage object detectors (e.g., DSSD, RetinaNet, RefineDet) and the two-stage object detectors (e.g., Mask R-CNN, DetNet) to alleviate the problem arising from scale variation across ...
Cai, Ling +6 more
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Peroneal muscular atrophy with pyramidal features. [PDF]
Journal of Neurology, Neurosurgery & Psychiatry, 1984 Twenty-five cases of peroneal muscular atrophy with pyramidal features from 15 families are described. This disorder has been referred to as hereditary motor and sensory neuropathy (HMSN) type V by Dyck. Onset was usually in the first two decades of life with difficulty in walking.
A E, Harding, P K, Thomas
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