Learning a scene-specific distance metric from labeled data is critical for person re-identification. Most of the earlier works in this area aim to seek a linear transformation of the feature space such that relevant dimensions are emphasized while irrelevant ones are discarded in a global sense....
The following disclosure is provided in order to enable a person having ordinary skill in the art to practice the invention. Language used in this specification should not be interpreted as a general disavowal of any one specific embodiment or used to limit the claims beyond the meaning of the...
Person re-identificationMulti-modality miningDiagonal modelMetric learningLearning a scene-specific distance metric from labdoi:10.1016/j.patcog.2017.09.041LiuDalianXiaokaiDalianXiaoruiDalianWangDalianJieDalianHongyuDalianPattern Recognition: The Journal of the Pattern Recognition Society...
M3l: Multi-modality mining for metric learning in person re-identification. Pattern Recognition, 76:650 - 661, 2018.X. Liu, X. Ma, J. Wang, H. Wang, M3l: Multi-modality mining for metric learning in person re-identification, Pattern Recognition 76 (2018) 650-661....
Current approaches in RGB-Infrared Person Re-Identification (RGB-IR ReID) often utilize two parameter-specific subnetworks to extract modality-specific features from RGB and IR images, followed by a shared-parameter subnetwork that identifies common features across modalities to facilitate the matching ...
Learning a scene-specific distance metric from labeled data is critical for person re-identification. Most of the earlier works in this area aim to seek a linear transformation of the feature space such that relevant dimensions are emphasized while irrelevant ones are discarded in a global sense....
Cross-modalityfeature representationlanguage-and-visionperson re-identificationThe target of text-based person re-identification (Re-ID) is to retrieve the corresponding image of a person through the given text information. However, due to the homogeneous variety and modality heterogeneity, it is ...
Israel). The electrical pain stimulus was stimulated at participants when electrodes were attached to participants’ index and middle fingers using an electrical stimulator (Digitimer DS7A, Digitimer Ltd., Letchworth Garden City, UK). A person calibration was applied prior to the main stimulation pha...
LEARNINGThe target of text‐based person re‐identification (Re‐ID) is to retrieve the corresponding image of a person through the given text information. However, due to the homogeneous variety and modality heterogeneity, it is challenging to simultaneously learn both global‐level and...
IDENTIFICATIONPROBLEM solvingDATA augmentationEMBEDDING theoremsTo solve the problem of how to alleviate the difference between person modalities in cross-modality person re-identification task, a Random Channel Nearest Augment method (RCNA) and a U-shape Multiple Mutual-Information Embedding (UMME) ...