Anant Gupta

Adapting foundation models with synthetic data can dramatically enhance face recognition accuracy, with some methods even surpassing traditional baselines.

Achieving an 8.00% equal error rate, the top solution highlights the critical role of temporal patterns in footstep recognition, yet reveals persistent challenges with unseen footwear.

Forget retraining: CobwebTM builds interpretable topic hierarchies on the fly, adapting to streaming data without catastrophic forgetting.