A design method that assigns target wavelengths to RGB camera-filter pairs by minimizing the condition number of the stacked linear measurement matrix to maximize reconstruction robustness.
In: 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP), pp
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FedKLPR introduces KL-divergence-guided training, pruning-aware weighted aggregation, and cross-round recovery to achieve 40-42% communication reduction on ResNet-50 while preserving competitive accuracy in federated person re-identification across eight datasets.
A survey that organizes methods for cross-domain object detection into a taxonomy, analyzes domain shift across detection stages, and outlines persistent challenges.
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Optimal Multispectral Imaging using RGB Cameras
A design method that assigns target wavelengths to RGB camera-filter pairs by minimizing the condition number of the stacked linear measurement matrix to maximize reconstruction robustness.
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FedKLPR: KL-Guided Pruning-Aware Federated Learning for Person Re-Identification
FedKLPR introduces KL-divergence-guided training, pruning-aware weighted aggregation, and cross-round recovery to achieve 40-42% communication reduction on ResNet-50 while preserving competitive accuracy in federated person re-identification across eight datasets.
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Generalization Under Scrutiny: Cross-Domain Detection Progresses, Pitfalls, and Persistent Challenges
A survey that organizes methods for cross-domain object detection into a taxonomy, analyzes domain shift across detection stages, and outlines persistent challenges.