Oct 10, 2022 · We present a MRN-based meta-learning framework for mining the meta-knowledge shared across different domains, even without replaying any previous data.

Oct 14, 2022 · Lifelong person re-identification (LReID) is a challenging and emerg- ing task, which concerns the ReID capability on both seen and unseen ...

This work proposes a new meta reconciliation normalization (MRN) method specifically designed for tackling LReID, inspired by synaptic plasticity in human ...

Co-authors ; Meta reconciliation normalization for lifelong person re-identification. N Pu, Y Liu, W Chen, EM Bakker, MS Lew. ACM MM, 2022. 26, 2022 ; Elastic ...

Dec 12, 2024 · 2022. Meta Reconciliation Normalization for Lifelong Per- son Re-Identification. In Proc. ACM Int. Conf. Multimedia,. 541–549.

Dec 8, 2023 · 2.3 Lifelong Person Re-Identification . ... 3 Meta Reconciliation Normalization for Lifelong Re-Identification 39.

Lifelong Person Re-identification (L-ReID) aims to learn from sequentially collected data to match a person across different scenes.

This work introduces the continual person search task that sequentially learns on multiple domains and then performs person search on all seen domains.

Meta Reconciliation Normalization for Lifelong Person Re-Identification · Nan ... Style Normalization and Restitution for Generalizable Person Re-Identification.

May 30, 2024 · Lew. Meta reconciliation normalization for lifelong person re-identification. In ACM International Conference on Multimedia, page 541–549, 2022.