Occluded person re-identification with deep learning: a survey and perspectives
Person re-identification (Re-ID) technology plays an increasingly crucial role in intelligent
surveillance systems. Widespread occlusion significantly impacts the performance of person …
surveillance systems. Widespread occlusion significantly impacts the performance of person …
Learning granularity-unified representations for text-to-image person re-identification
Text-to-image person re-identification (ReID) aims to search for pedestrian images of an
interested identity via textual descriptions. It is challenging due to both rich intra-modal …
interested identity via textual descriptions. It is challenging due to both rich intra-modal …
Image-specific information suppression and implicit local alignment for text-based person search
Text-based person search (TBPS) is a challenging task that aims to search pedestrian
images with the same identity from an image gallery given a query text. In recent years …
images with the same identity from an image gallery given a query text. In recent years …
Enhancement, integration, expansion: Activating representation of detailed features for occluded person re-identification
A proposed method, Enhancement, integration, and Expansion, aims to activate the
representation of detailed features for occluded person re-identification. Region and context …
representation of detailed features for occluded person re-identification. Region and context …
Erasing, transforming, and noising defense network for occluded person re-identification
Occlusion perturbation presents a significant challenge in person re-identification (re-ID),
and existing methods that rely on external visual cues require additional computational …
and existing methods that rely on external visual cues require additional computational …
Multi-view information integration and propagation for occluded person re-identification
Occluded person re-identification (re-ID) presents a challenging task due to occlusion
perturbations. Although great efforts have been made to prevent the model from being …
perturbations. Although great efforts have been made to prevent the model from being …
Content-adaptive auto-occlusion network for occluded person re-identification
The occluded person re-identification (ReID) aims to match person images captured in
severely occluded environments. Current occluded ReID works mostly rely on auxiliary …
severely occluded environments. Current occluded ReID works mostly rely on auxiliary …
Pedestrian Re-ID based on feature consistency and contrast enhancement
For robust person re-identification (Re-ID), the key is effectively learning the features of body
parts and their long-distance dependence. ResNet and Transformer are respectively good at …
parts and their long-distance dependence. ResNet and Transformer are respectively good at …
Unsupervised Person Re-Identification: A Review of Recent Works
ABSTRACT Re-identification (Re-ID) is a process that seeks to identify concern individuals
from successive non-overlapping photographs. The area of computer vision has recently …
from successive non-overlapping photographs. The area of computer vision has recently …
STFE: a comprehensive video-based person re-identification network based on spatio-temporal feature enhancement
Video-based person re-identification (Re-ID) is designed to retrieve target pedestrians in
video sequences under non-overlapping cameras. At present, mainstream approaches post …
video sequences under non-overlapping cameras. At present, mainstream approaches post …