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cs.CV2026
ZeroDSS: Semantic Segmentation from Class Names Alone
Tian Ming, Marzi Heidari, Yuhong Guo
Semantic segmentation depends heavily on real images with pixel-level annotations, making dense supervision a major obstacle to deployment in new domains. We study task-specific da…
cs.CV2025
Target-Oriented Single Domain Generalization
Marzi Heidari, Yuhong Guo
Deep models trained on a single source domain often fail catastrophically under distribution shifts, a critical challenge in Single Domain Generalization (SDG). While existing meth…
cs.CV2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification
Marzi Heidari, Abdullah Alchihabi, Qing En +1
Cross-domain few-shot classification induces a much more challenging problem than its in-domain counterpart due to the existence of domain shifts between the training and test task…