Results 21 to 30 of about 6,095,709 (227)
Person Re-Identification Method with Multi-Scale Contrast Pooling Feature [PDF]
Person re-identification is a technology that uses computer vision to identify whether there are specific people in images or video sequences.Owing to the influence of the person's posture, occlusion, illumination change, and other factors, the ...
LIU Xiaorong, LI Xiaoxia, QIN Changhui
doaj +1 more source
Physiological Features of Aging Persons [PDF]
Between 1960 and 1994, the population of those 85 years and older in the United States grew 274%. 1 Similarly, the fastest-growing sector of surgical patients older than 65 years is those older than 85 years. 2 These figures are critical because elderly persons have the highest mortality in the adult surgical population (5.8%-6.2% in those >80 years ...
Oliver O, Aalami +3 more
openaire +2 more sources
Learning Semantic-Aligned Feature Representation for Text-Based Person Search [PDF]
Text-based person search aims to retrieve images of a certain pedestrian by a textual description. The key challenge of this task is to eliminate the inter-modality gap and achieve the feature alignment across modalities.
Shiping Li, Min Cao, Min Zhang
semanticscholar +1 more source
Inception Convolution and Feature Fusion for Person Search
With the rapid advancement of deep learning theory and hardware device computing capacity, computer vision tasks, such as object detection and instance segmentation, have entered a revolutionary phase in recent years.
Huan Ouyang, Jiexian Zeng, Lu Leng
doaj +1 more source
AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification [PDF]
Cross-modal person re-identification (Re-ID) is critical for modern video surveillance systems. The key challenge is to align cross-modality representations conforming to semantic information present for a person and ignore background information.
Ammarah Farooq +3 more
semanticscholar +1 more source
SFANet: A Spectrum-Aware Feature Augmentation Network for Visible-Infrared Person Reidentification [PDF]
Visible-Infrared person reidentification (VI-ReID) is a challenging matching problem due to large modality variations between visible and infrared images.
Haojie Liu +3 more
semanticscholar +1 more source
Occluded Person Re-Identification Via Relational Adaptive Feature Correction Learning [PDF]
Occluded person re-identification (Re-ID) in images captured by multiple cameras is challenging because the target person is occluded by pedestrians or objects, especially in crowded scenes.
Minjung Kim +4 more
semanticscholar +1 more source
Multiscale Reference-Aided Attentive Feature Aggregation for Person Re-Identification
In person re-identification (Re-ID), increasing the diversity of pedestrian features can improve recognition accuracy. In standard convolutional neural networks (CNNs), the receptive fields of neurons in each layer are designed to have the same size ...
Li Xu, Xiang Fu
doaj +1 more source
Hormones and borderline personality features [PDF]
Borderline personality is diagnosed in clinical settings three times more often in women than in men, and symptom severity in women appears sensitive to circulating sex steroid levels. In non-human mammals, prenatal hormones contribute to the development of sex-linked behavior and their responsiveness to postnatal hormones.
Milagros, Evardone +2 more
openaire +2 more sources
Omni-Scale Feature Learning for Person Re-Identification [PDF]
As an instance-level recognition problem, person re-identification (ReID) relies on discriminative features, which not only capture different spatial scales but also encapsulate an arbitrary combination of multiple scales.
Kaiyang Zhou +3 more
semanticscholar +1 more source

