Results 1 to 10 of about 229,853 (217)
Multi-person feature fusion transfer learning-based convolutional neural network for SSVEP-based collaborative BCI [PDF]
Frontiers in Neuroscience, 2022 ObjectiveThe conventional single-person brain–computer interface (BCI) systems have some intrinsic deficiencies such as low signal-to-noise ratio, distinct individual differences, and volatile experimental effect.
Penghai Li +4 more
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Diversity Feature Learning Network for Occluded Person Re-Identification [PDF]
SensorsOccluded person re-identification (Re-ID) is a challenging task, as non-target pedestrians or surrounding obstacles often interfere with the visual cues of the target person, making it difficult for models to effectively learn discriminative feature ...
Lei Qi, Liejun Wang, Shaochen Jiang
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Isogloss, 2022 In this paper, I address the problem of auxiliary selection in Standard Italian and in Southern Italo-Romance varieties. In the former, the auxiliary depends on the argument structure, in the latter on the person feature of the subject.
Irene Amato
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« Je t’aime. – Moi aussi (je t’aime). »
Isogloss, 2023 In dialogs like “I love you – I do too”, the pronoun in the ellipsis site can be interpreted as dependent on the preceding overt pronoun (i.e. I do love you too).
Isabelle Charnavel
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A feature enhancement loss for person re-identification
Systems Science & Control Engineering, 2023 The goal of person re-identification (ReID) is to recognize the same person across cameras. Classification loss is one of the most widely used objective functions in person ReID tasks based on deep learning.
Yao Peng +4 more
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Cross-Domain Person Re-Identification Based on Feature Fusion
IEEE Access, 2021 Person re-identification (ReID) is one of the commonly used criminal investigation methods in reconnaissance. Although the current ReID has achieved robust results on single domains, the focus of researches has shifted to cross-domain in recent years ...
Xianjun Luo +4 more
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Attention and Texture Feature Enhancement for Person Re-identification [PDF]
Jisuanji kexue yu tansuo, 2022 In view of the low accuracy of existing person re-identification to deal with low image resolution, illuminative difference, posture and perspective diversity, this paper proposes a multi-task pedestrian recognition algorithm based on spatial attention ...
LI Jie
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Person Re-identification Based on Feature Location and Fusion [PDF]
Jisuanji kexue, 2022 Pedestrian appearance attributes are important semantic information distinguishing pedestrian differences.Pedestrian attribute recognition plays a vital role in intelligent video surveillance,which can help us quickly screen and retrieve target ...
YANG Xiao-yu, YIN Kang-ning, HOU Shao-qi, DU Wen-yi, YIN Guang-qiang
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Person Re-Identification Method with Multi-Scale Contrast Pooling Feature [PDF]
Jisuanji gongcheng, 2022 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
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Person Re‐identification Based on Feature Erasure and Diverse Feature Learning
IET Computer Vision, 2022 Robust and comprehensive modelling of targets is the key to successful person re‐identification. However, some useful information may be ignored, since CNNs tend to learn from the most distinctive feature region of the human body. In the present study, a
Lu Peng +4 more
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