Showing cs.CVShow all
2 papers · 1 filter
cs.CV2026
Improving Calibration in Test-Time Prompt Tuning for Vision-Language Models via Data-Free Flatness-Aware Prompt Pretraining
Hyeonseo Jang, Jaebyeong Jeon, Joong-Won Hwang +1
Test-time prompt tuning (TPT) has emerged as a promising technique for enhancing the adaptability of vision-language models by optimizing textual prompts using unlabeled test data.…
cs.CV2024
OurDB: Ouroboric Domain Bridging for Multi-Target Domain Adaptive Semantic Segmentation
Seungbeom Woo, Geonwoo Baek, Taehoon Kim +3
Multi-target domain adaptation (MTDA) for semantic segmentation poses a significant challenge, as it involves multiple target domains with varying distributions. The goal of MTDA i…