4 papers
AdapterTune: Zero-Initialized Low-Rank Adapters for Frozen Vision Transformers
Salim Khazem
Frozen-backbone transfer with Vision Transformers faces two under-addressed issues: optimization instability when adapters are naively inserted into a fixed feature extractor, and…
Margin and Consistency Supervision for Calibrated and Robust Vision Models
Salim Khazem
Deep vision classifiers often achieve high accuracy while remaining poorly calibrated and fragile under small distribution shifts. We present Margin and Consistency Supervision (Ma…
SAFE-KD: Risk-Controlled Early-Exit Distillation for Vision Backbones
Salim Khazem
Early-exit networks reduce inference cost by allowing ``easy'' inputs to stop early, but practical deployment hinges on knowing \emph{when} early exit is safe. We introduce SAFE-KD…
TopoLoRA-SAM: Topology-Aware Parameter-Efficient Adaptation of Foundation Segmenters for Thin-Structure and Cross-Domain Binary Semantic Segmentation
Salim Khazem
Foundation segmentation models such as the Segment Anything Model (SAM) exhibit strong zero-shot generalization through large-scale pretraining, but adapting them to domain-specifi…