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cs.CV2025★ 1 cited
Shuffle PatchMix Augmentation with Confidence-Margin Weighted Pseudo-Labels for Enhanced Source-Free Domain Adaptation
Prasanna Reddy Pulakurthi, Majid Rabbani, Jamison Heard +3
This work investigates Source-Free Domain Adaptation (SFDA), where a model adapts to a target domain without access to source data. A new augmentation technique, Shuffle PatchMix (…
cs.CV2024★ 1 cited
Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning
Manish Sharma, Jamison Heard, Eli Saber +1
While Convolutional Neural Networks (CNNs) excel at learning complex latent-space representations, their over-parameterization can lead to overfitting and reduced performance, part…