Cross-resolution person re-identificationInvariant feature learningFeature reconstructionDual-stream inputDeep learningProposes a superior Cross-Resolution Person Re-identification framework.Mitigates informatio
Jiao J, Zheng W S, Wu A, Zhu X, Gong S (2018) Deep low-resolution person re-identification. In Thirty-second AAAI conference on artificial intelligence. Kasemsumran P, Auephanwiriyakul S, & Theera-Umpon N (2016) Face recognition using string grammar fuzzy K-nearest neighbor. In 2016...
Deep antithetical learningImages with different resolutions are ubiquitous in public person re-identification (ReID) datasets and real-world scenes, it is thus crucial for a person ReID model to handle the image resolution variations for improving its generalization ability. However, most existing ...
Cross-Resolution Person Re-Identification (re-ID) aims to match images with disparate resolutions arising from variations in camera hardware and shooting distances. Most conventional works utilize Super-Resolution (SR) models to recover Low Resolution (LR) images to High Resolution (HR) images. ...
The experiment result of this paper proves the effectiveness of the Fast Gradient Sign Method on Cross-Resolution Person Re-Identification. It tests the transferable of the adversarial samples generated by the Fast Gradient Sign Method.Zhikang Song...
Cross-Resolution Person Re-Identification (re-ID) aims to match images with disparate resolutions arising from variations in camera hardware and shooting distances. Most conventional works utilize Super-Resolution (SR) models to recover Low Resolution (LR) images to High Resolution (HR) images. Howev...
ARTransformer: An Architecture of Resolution Representation Learning for Cross‐Resolution Person Re‐Identificationdoi:10.1002/cpe.8348Lu, XingLai, FengshanCao, ZhixiangXia, DaoxunConcurrency & Computation: Practice & Experience
Cross-resolution Person Re-identification (ReID) faces the significant challenge of large resolution variance across different camera views in real surveillance systems. Most approaches based on super-resolution (SR) excessively rely on the SR images, which may lead to the loss of low-resolution (...
Person re-identificationLow-resolutionVisual surveillancePerson images captured by public surveillance cameras often have low resolutions (LRs), along with uncontrolled pose variations, background clutter and occlusion. These issues cause the resolution mismatch problem when matched with high-resolution (HR)...
Multi-feature extraction network cross-resolution person re-identification based on SR technologydoi:10.1117/12.2682284Image resolutionImage restorationFeature extractionCamerasSuper resolutionAblationEducation and trainingVisualizationInformation visualizationIn the real world, the resolution of the image that is ...