Deep learning for person re-identification: A survey and outlook
Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non-
overlapping cameras. With the advancement of deep neural networks and increasing …
overlapping cameras. With the advancement of deep neural networks and increasing …
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 …
Transreid: Transformer-based object re-identification
Extracting robust feature representation is one of the key challenges in object re-
identification (ReID). Although convolution neural network (CNN)-based methods have …
identification (ReID). Although convolution neural network (CNN)-based methods have …
Diverse part discovery: Occluded person re-identification with part-aware transformer
Occluded person re-identification (Re-ID) is a challenging task as persons are frequently
occluded by various obstacles or other persons, especially in the crowd scenario. To …
occluded by various obstacles or other persons, especially in the crowd scenario. To …
Age-invariant face recognition by multi-feature fusionand decomposition with self-attention
Different from general face recognition, age-invariant face recognition (AIFR) aims at
matching faces with a big age gap. Previous discriminative methods usually focus on …
matching faces with a big age gap. Previous discriminative methods usually focus on …
Feature erasing and diffusion network for occluded person re-identification
Occluded person re-identification (ReID) aims at matching occluded person images to
holistic ones across different camera views. Target Pedestrians (TP) are often disturbed by …
holistic ones across different camera views. Target Pedestrians (TP) are often disturbed by …
High-order information matters: Learning relation and topology for occluded person re-identification
Occluded person re-identification (ReID) aims to match occluded person images to holistic
ones across dis-joint cameras. In this paper, we propose a novel framework by learning high …
ones across dis-joint cameras. In this paper, we propose a novel framework by learning high …
Group-aware label transfer for domain adaptive person re-identification
Abstract Unsupervised Domain Adaptive (UDA) person re-identification (ReID) aims at
adapting the model trained on a labeled source-domain dataset to a target-domain dataset …
adapting the model trained on a labeled source-domain dataset to a target-domain dataset …
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 …
Fastreid: A pytorch toolbox for general instance re-identification
General Instance Re-identification is a very important task in computer vision, which can be
widely used in many practical applications, such as person/vehicle re-identification, face …
widely used in many practical applications, such as person/vehicle re-identification, face …