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 …
Recent advances in vision transformer: A survey and outlook of recent work
Vision Transformers (ViTs) are becoming more popular and dominating technique for
various vision tasks, compare to Convolutional Neural Networks (CNNs). As a demanding …
various vision tasks, compare to Convolutional Neural Networks (CNNs). As a demanding …
Dual cross-attention learning for fine-grained visual categorization and object re-identification
Recently, self-attention mechanisms have shown impressive performance in various NLP
and CV tasks, which can help capture sequential characteristics and derive global …
and CV tasks, which can help capture sequential characteristics and derive global …
Pose-guided feature disentangling for occluded person re-identification based on transformer
Occluded person re-identification is a challenging task as human body parts could be
occluded by some obstacles (eg trees, cars, and pedestrians) in certain scenes. Some …
occluded by some obstacles (eg trees, cars, and pedestrians) in certain scenes. Some …
PHA: Patch-wise high-frequency augmentation for transformer-based person re-identification
Although recent studies empirically show that injecting Convolutional Neural Networks
(CNNs) into Vision Transformers (ViTs) can improve the performance of person re …
(CNNs) into Vision Transformers (ViTs) can improve the performance of person re …
Semi-attention partition for occluded person re-identification
This paper proposes a Semi-Attention Partition (SAP) method to learn well-aligned part
features for occluded person re-identification (re-ID). Currently, the mainstream methods …
features for occluded person re-identification (re-ID). Currently, the mainstream methods …
CLIP-ReID: exploiting vision-language model for image re-identification without concrete text labels
Pre-trained vision-language models like CLIP have recently shown superior performances
on various downstream tasks, including image classification and segmentation. However, in …
on various downstream tasks, including image classification and segmentation. However, in …
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 …
Learning feature recovery transformer for occluded person re-identification
One major issue that challenges person re-identification (Re-ID) is the ubiquitous occlusion
over the captured persons. There are two main challenges for the occluded person Re-ID …
over the captured persons. There are two main challenges for the occluded person Re-ID …
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 …