Baggage Re-Identification for Smart Security Inspection:

• Updated existing model from verification scheme (Siamese nets) to the latest embedding scheme after implementing 5 models in PyTorch and evaluating performance on baggage datasets with hyperparam search.

• Achieved 0.76 accuracy of CMC rank-1 on image retrieval from a 500-baggage gallery, improving baseline by 80.9% in accuracy and about 10x in speed.

Framework Development:

• Migrated research framework from C/Caffe to Python/PyTorch and developed additional features including activation visualization, checkpointing, and metrics platform integration.