1 citations · 2 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
Diverse and Styled Image Captioning Using SVD-Based Mixture of Recurrent Experts
Marzieh Heidari, Mehdi Ghatee, Ahmad Nickabadi +1
With great advances in vision and natural language processing, the generation of image captions becomes a need. In a recent paper, Mathews, Xie and He [1], extended a new model to…