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Renlin Wang on Muck Rack

Renlin Wang

As seen in: IEEE, MDPI
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Articles

Deep Self-Supervised Hashing With Fine-Grained Similarity Mining for Cross-Modal Retrieval

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By Lijun Han, Renlin Wang, Chunlei Chen, Huihui Zhang
| IEEE
The hashing method is the most widely used technique in cross-modal retrieval applications due to the search speed and storage consumption. In particular, With the recent rapid development of deep learning technology, several researchers have combined deep neural networks with compact representation learning to design some end-to-end deep cross-modal hashing frameworks.
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Graph Sampling-Based Multi-Stream Enhancement Network for Visible-Infrared Person Re-Identification

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By Jinhua Jiang, Junjie Xiao, Tiansong Li, Renlin Wang
| MDPI
4. Experiments 4.1. Datasets and Evaluation Protocol 4.1.1. Datasets SYSU-MM01 [8] dataset consists of 491 different identities captured by four visible cameras and two infrared cameras. It encompasses two search modes: All-Search mode and Indoor-Search mode. Specifically, in the All-Search mode, the gallery set comprises all images captured by the visible cameras, allowing researchers to explore scenarios where all available visible cameras are employed for Re-ID tasks.
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