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Found 2 papers, 2 papers with code
Flare-Aware Cross-modal Enhancement Network for Multi-spectral Vehicle Re-identification
Finally, to evaluate the proposed FACENet in handling intense flare, we introduce a new multi-spectral vehicle re-ID dataset, called WMVEID863, with additional challenges such as motion blur, significant background changes, and particularly intense flare degradation.
Multi-spectral Vehicle Re-identification with Cross-directional Consistency Network and a High-quality Benchmark
In particular, we design a new cross-directional center loss to pull the modality centers of each identity close to mitigate cross-modality discrepancy, while the sample centers of each identity close to alleviate the sample discrepancy.
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