Person re-identification: A retrospective on domain specific open challenges and future trends
Abstract Person Re-Identification (Re-ID) is a critical aspect of visual surveillance systems,
which aims to automatically recognize and locate individuals across a multi-camera network …
which aims to automatically recognize and locate individuals across a multi-camera network …
Towards effective person search with deep learning: A survey from systematic perspective
Person search detects and retrieves simultaneously a query person across uncropped
scene images captured by multiple non-overlap** cameras. In light of the deep learning …
scene images captured by multiple non-overlap** cameras. In light of the deep learning …
Uncertainty modeling for out-of-distribution generalization
Though remarkable progress has been achieved in various vision tasks, deep neural
networks still suffer obvious performance degradation when tested in out-of-distribution …
networks still suffer obvious performance degradation when tested in out-of-distribution …
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 …
Idm: An intermediate domain module for domain adaptive person re-id
Unsupervised domain adaptive person re-identification (UDA re-ID) aims at transferring the
labeled source domain's knowledge to improve the model's discriminability on the unlabeled …
labeled source domain's knowledge to improve the model's discriminability on the unlabeled …
Animal kingdom: A large and diverse dataset for animal behavior understanding
Understanding animals' behaviors is significant for a wide range of applications. However,
existing animal behavior datasets have limitations in multiple aspects, including limited …
existing animal behavior datasets have limitations in multiple aspects, including limited …
Meta distribution alignment for generalizable person re-identification
Abstract Domain Generalizable (DG) person ReID is a challenging task which trains a model
on source domains yet generalizes well on target domains. Existing methods use source …
on source domains yet generalizes well on target domains. Existing methods use source …
Adaptive cross-domain learning for generalizable person re-identification
Abstract Domain Generalizable Person Re-Identification (DG-ReID) is a more practical ReID
task that is trained from multiple source domains and tested on the unseen target domains …
task that is trained from multiple source domains and tested on the unseen target domains …
Tri-modality consistency optimization with heterogeneous augmented images for visible-infrared person re-identification
Visible-infrared person re-identification (VI-ReID) is a challenging technology due to the
large gap between daytime visible modality and night-time infrared modality. Previous …
large gap between daytime visible modality and night-time infrared modality. Previous …
Dynamically transformed instance normalization network for generalizable person re-identification
Existing person re-identification methods often suffer significant performance degradation on
unseen domains, which fuels interest in domain generalizable person re-identification (DG …
unseen domains, which fuels interest in domain generalizable person re-identification (DG …