A benchmark dataset with 963,554 bounding boxes of 22 people across seven cameras over seven months shows current Re-ID models drop to 18.81% CMC@1 on long-term indoor re-identification.
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CHIRLA: Comprehensive High-resolution Identification and Re-identification for Large-scale Analysis
A benchmark dataset with 963,554 bounding boxes of 22 people across seven cameras over seven months shows current Re-ID models drop to 18.81% CMC@1 on long-term indoor re-identification.