Balancing Differential Discriminative Knowledge For Clothing-Irrelevant Lifelong Person Re-identification

Authors: Zhenyu Cui, Jiahuan Zhou, Yuxin Peng
Primary area: transfer learning, meta learning, and lifelong learning
Keywords: Person re-identification, Cloth-changing, Lifelong learning, Prototype learning

Abstract:
Lifelong person re-identification (L-ReID) focuses on learning sequentially collected datasets from different domains to match the same person. Advanced L-ReID methods typically balance the domain gap between different datasets via domain knowledge modeling, such as knowledge rectification or distribution prototyping. However, existing methods dismiss balancing discriminative knowledge within different datasets, resulting in conflicts when sequentially accumulating differential discriminative information in different datasets, e.g., sequentially learning cloth-changing/cloth-consistent knowledge simultaneously, which brings critical catastrophic forgetting problems of old discriminative knowledge. In this paper, we focus on a new but practical task called Cloth-Irrelevant Lifelong Per-
sue, we proposed an Adaptive Discriminative Knowledge Consolidation (ADKC) framework to balance the discriminative information of different domains on L-ReID. Specifically, we propose a Selective Knowledge Forgetting (SKF) module to correct potential overfitting to specific discrimination (e.g., clothing information) based on new knowledge. In addition, we design a Selective Knowledge Retention (SKR) module to adaptively compensate for the potential lack of discriminative information based on old knowledge and accelerate differential discrimination into a unified framework. To validate our method, two CIL-ReID benchmarks are first established, while extensive experiments on the above two benchmark datasets demonstrate that our method leads to existing advanced methods in the CIL-ReID task.

Decision: reject
Reviewer scores: 1, 1, 1, 1

Reviews and discussion:
<thread>
creation date:
1729476958697

thread_type:
official_review

<thread_object>
creator: reviewer_v8k5

<content>
summary:
This paper is only a template, which shows no respect for the ICLR. I recommend that the authors withdraw this submission.

strengths:
Nan

weaknesses:
This paper is only a template, which shows no respect for the ICLR.

questions:
Nan
</content>
</thread_object>

</thread>
<thread>
creation date:
1729506979276

thread_type:
official_review

<thread_object>
creator: reviewer_m6tm

<content>
summary:
The manuscript is incomplete and contains much irrelevant information. This manuscript is not ready for review.

strengths:
The manuscript is incomplete and not ready for review.

weaknesses:
The manuscript is incomplete and not ready for review.

questions:
The manuscript is incomplete and not ready for review.
</content>
</thread_object>

</thread>
<thread>
creation date:
1730373912331

thread_type:
official_review

<thread_object>
creator: reviewer_4vtz

<content>
summary:
The submitted manuscript is incomplete, containing only an abstract and an incomplete introductory section, lacking related work, specific methods and experiments. Therefore it is not possible to summarise.

strengths:
Due to the incomplete manuscript submitted, it is not possible to see the strengths of the proposed methodology.

weaknesses:
The submitted manuscript is incomplete and lacks related work, specific methods, and experiments.

questions:
See weaknesses.
</content>
</thread_object>

</thread>
<thread>
creation date:
1730613053309

thread_type:
official_review

<thread_object>
creator: reviewer_wuvk

<content>
summary:
I cannot fully evaluate this paper as it was submitted as an incomplete version

strengths:
Due to the submission version only including an abstract and a partial introduction, it is not possible to find any strengths.

weaknesses:
Version submission error

questions:
Version submission error
</content>
</thread_object>

</thread>


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