RegDB (Dongguk Body-based Person Recognition Database (DBPerson-Recog-DB1))
Introduced by Ye et al. in Deep Learning for Person Re-identification: A Survey and Outlook
RegDB is used for Visible-Infrared Re-ID which handles the cross-modality matching between the daytime visible and night-time infrared images. The dataset contains images of 412 people. It includes 10 color and 10 thermal images for each person.
Source: Person Recognition System Based on a Combination of Body Images from Visible Light and Thermal CamerasBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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RegDB
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Hetero-center-triplet-loss
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RegDB
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CM-LSP-GE
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Papers
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