Cross-Modal Person Re-Identification
4 papers with code • 2 benchmarks • 3 datasets
SYSU-MM01
RegDB
Latest papers with no code
Cross-modal Local Shortest Path and Global Enhancement for Visible-Thermal Person Re-Identification
In this paper, we propose the Cross-modal Local Shortest Path and Global Enhancement (CM-LSP-GE) modules, a two-stream network based on joint learning of local and global features.
AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification
Our framework is novel in its ability to implicitly learn aligned semantics between modalities during the feature learning stage.
PAC-GAN: An Effective Pose Augmentation Scheme for Unsupervised Cross-View Person Re-identification
In this paper, we introduce a novel unsupervised pose augmentation cross-view person Re-Id scheme called PAC-GAN to overcome these limitations.
Cross-Modal Distillation for RGB-Depth Person Re-Identification
Person re-identification is a key challenge for surveillance across multiple sensors.
Crossing Generative Adversarial Networks for Cross-View Person Re-identification
Given a pair of person images, the proposed model consists of the variational auto-encoder to encode the pair into respective latent variables, a proposed cross-view alignment to reduce the view disparity, and an adversarial layer to seek the joint distribution of latent representations.
RGB-Infrared Cross-Modality Person Re-Identification
To that end, matching RGB images with infrared images is required, which are heterogeneous with very different visual characteristics.
Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification
In this paper we introduce a method to overcome one of the main challenges of person re-identification in multi-camera networks, namely cross-view appearance changes.
