Deep Graph Metric Learning for Weakly Supervised Person Re-Identification
In conventional person re-identification (re-id), the images used for model training in the training probe set and training gallery set are all assumed to be instance-level samples that are manuall…
Two-Dimensional Functional Principal Component Analysis for Image Feature Ext…
Methodologies for functional principal component analysis are well established in the one-dimensional setting. However, for two-dimensional surfaces, for example, images, conducting functional prin…
Two-Branch Relational Prototypical Network for Weakly Supervised Temporal Act…
As a challenging task of high-level video understanding, weakly supervised temporal action localization has attracted more attention recently. With only video-level category labels, this task shoul…
Adaptive Semiparametric Bayesian Differential Equations Via Sequential Monte …
Nonlinear differential equations (DEs) are used in a wide range of scientific problems to model complex dynamic systems. The differential equations often contain unknown parameters that are of scie…
Few-Shot Image and Sentence Matching via Aligned Cross-Modal Memory
Image and sentence matching has attracted much attention recently, and many effective methods have been proposed to deal with it. But even the current state-of-the-arts still cannot well associate …
Image and Sentence Matching via Semantic Concepts and Order Learning
Image and sentence matching has made great progress recently, but it remains challenging due to the existing large visual-semantic discrepancy. This mainly arises from two aspects: 1) images consis…
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