1 citations · 1 across the 3 of their papers we have counts for
3 papers
Certainty and Uncertainty Guided Active Domain Adaptation
Bardia Safaei, Vibashan VS, Vishal M. Patel
Active Domain Adaptation (ADA) adapts models to target domains by selectively labeling a few target samples. Existing ADA methods prioritize uncertain samples but overlook confiden…
Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models
Yasiru Ranasinghe, Vibashan VS, James Uplinger +2
Automatic target recognition (ATR) plays a critical role in tasks such as navigation and surveillance, where safety and accuracy are paramount. In extreme use cases, such as milita…
PosSAM: Panoptic Open-vocabulary Segment Anything
Vibashan VS, Shubhankar Borse, Hyojin Park +4
In this paper, we introduce an open-vocabulary panoptic segmentation model that effectively unifies the strengths of the Segment Anything Model (SAM) with the vision-language CLIP…