Jul 21, 2020 · Abstract:Most person re-identification methods, being supervised techniques, suffer from the burden of massive annotation requirement.

The weak nature of the supervision arises from the requirement of video-level labels, i.e. person identities who appear in the video, in contrast to the more ...

The weak nature of the supervision arises from the requirement of video-level labels, i.e. person identities who appear in the video, in contrast to the more ...

The weak nature of the supervision arises from the requirement of video-level labels, i.e. person identities who appear in the video, in contrast to the more ...

So we propose the weakly supervised set- ting for person re-id which only requires video-level weak labels. Recently, several unsupervised learning methods have.

Jul 17, 2023 · Bibliographic details on Learning Person Re-identification Models from Videos with Weak Supervision.

Person re-identification aims to recognize or re-identify a person who was previously seen in video captured with overlapping or disjoint field of views.

Apr 8, 2019 · The weak setting refers to matching a target person with an untrimmed gallery video where we only know that the identity appears in the video ...

A weakly supervised person re-id modeling that aims to find the raw video clips ... Learning Person Re-Identification Models From Videos With Weak Supervision.

Video-based person re-identification (reID) aims to retrieve person videos with the same identity as a query person across multiple cameras.