14 citations · 31 across the 10 of their papers we have counts for
4 papers · 1 filter
Domain-Aware Continual Zero-Shot Learning
Kai Yi, Paul Janson, Wenxuan Zhang +1
Modern visual systems have a wide range of potential applications in vision tasks for natural science research, such as aiding in species discovery, monitoring animals in the wild,…
Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation
Divyansh Jha, Kai Yi, Ivan Skorokhodov +1
We propose a novel loss for generative models, dubbed as GRaWD (Generative Random Walk Deviation), to improve learning representations of unexplored visual spaces. Quality learning…
CIZSL++: Creativity Inspired Generative Zero-Shot Learning
Mohamed Elhoseiny, Kai Yi, Mohamed Elfeki
Zero-shot learning (ZSL) aims at understanding unseen categories with no training examples from class-level descriptions. To improve the discriminative power of ZSL, we model the v…
VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning
Jun Chen, Han Guo, Kai Yi +2
The ability to quickly learn from a small quantity oftraining data widens the range of machine learning applications. In this paper, we propose a data-efficient image captioning mo…