Papers Semi-Supervised Person Re-Identification
“Semi-Supervised Person Re-Identification” 태그가 달린 논문 5편 · 필터 해제
Going Deeper into Semi-supervised Person Re-identification
Person re-identification is the challenging task of identifying a person across different camera views. Training a convolutional neural network (CNN) for this task requires annotating a large dataset, and hence, it invol…
Person Re-IdentificationSemi-Supervised Person Re-IdentificationSemantics-Guided Clustering with Deep Progressive Learning for Semi-Supervised Person Re-identification
Person re-identification (re-ID) requires one to match images of the same person across camera views. As a more challenging task, semi-supervised re-ID tackles the problem that only a number of identities in training dat…
ClusteringImage RetrievalPerson Re-IdentificationRetrieval+1Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification
In this paper, we focus on the semi-supervised person re-identification (Re-ID) case, which only has the intra-camera (within-camera) labels but not inter-camera (cross-camera) labels. In real-world applications, these i…
Person Re-IdentificationSemi-Supervised Person Re-IdentificationTripletSparse Label Smoothing Regularization for Person Re-Identification
Person re-identification (re-id) is a cross-camera retrieval task which establishes a correspondence between images of a person from multiple cameras. Deep Learning methods have been successfully applied to this problem …
ClusteringData AugmentationPerson Re-IdentificationRetrieval+1Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification
Person re-identification aims to match a person's identity across multiple camera streams. Deep neural networks have been successfully applied to the challenging person re-identification task. One remarkable bottleneck i…
Data AugmentationPerson Re-IdentificationRepresentation LearningSemi-Supervised Person Re-Identification