Oct 19, 2017 · In this paper, we explore ways to address the challenges such as data bias caused by the lack of data on person re-identification problem.

ABSTRACT. In this paper, we explore ways to address the challenges such as data bias caused by the lack of data on person re-identification problem.

A data generation framework from both intra- and inter-view aspects for data augmentation to advance the performance of the existing person ...

In this paper, we explore ways to address the challenges such as data bias caused by the lack of data on person re-identification problem. We propose a data ...

Jan 27, 2021 · This work presents a two-stage framework that can generate high-quality person images and purify failure cases for reID training.

In this paper, we seek to improve learned re-id embeddings by better leveraging the generated data. To this end, we propose a joint learning framework that.

Nov 28, 2023 · In this paper, an improved CycleGAN is proposed to generate images for achieving improved data augmentation.

Aug 24, 2023 · In this paper, we propose several approaches that can be used in almost all popular modern re-identification algorithms to improve the quality of the problem ...

Jun 10, 2024 · As mentioned in Section 1, we rethink the two requirements for generating data in person Re-ID task, ID consistency and attribute diversity.

Jan 1, 2023 · Person re-identification uses Deep Learning to retrieve a person of interest across multiple cameras. An easy-to-read overview.