To address this, we propose a Multi-Semantic Feature Learning Network (MSFL-Net) for occluded person Re-ID. Specifically, MSFL-Net involves a backbone network ...

Recently, occluded person re-identification (Re-ID) has received significant interest due to its widespread real- world applications.

We introduce an explainable generative model by applying sparse operation on the feature maps of the generator network.

A Multi-Semantic Feature Learning Network (MSFL-Net) for occluded person Re-ID is proposed, which involves a backbone network and a Multi-branch Feature ...

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MSFL-Net: Multi-Semantic Feature Learning Network for Occluded Person Re-Identification ... Learning meta-adversarial features via multi-stage adaptation ...

MSFL-Net: Multi-Semantic Feature Learning Network for Occluded Person Re-Identification · Computer Science. 2022 IEEE International Joint Conference on… · 2022.

An occluded person re-identification (ReID) approach is presented by constructing a Bi-level deep Mutual learning assisted Multi-task network (BMM), ...

Feb 28, 2024 · MSFL-Net: Multi-Semantic Feature Learning Network for Occluded Person Re-Identification. October 2022. Guangyu Huang · Xiaokang Zhang ...

Specifically, MSFL-Net involves a backbone network and a Multi-branch Feature Learning sub-network (MFL). MFL consists of two local-global ...