277 citations · 1.7k across the 70 of their papers we have counts for
4 papers · 1 filter
Disjoint Label Space Transfer Learning with Common Factorised Space
Xiaobin Chang, Yongxin Yang, Tao Xiang +1
In this paper, a unified approach is presented to transfer learning that addresses several source and target domain label-space and annotation assumptions with a single model. It i…
RelationNet2: Deep Comparison Columns for Few-Shot Learning
Xueting Zhang, Yuting Qiang, Flood Sung +2
Few-shot deep learning is a topical challenge area for scaling visual recognition to open ended growth of unseen new classes with limited labeled examples. A promising approach is…
Deep Neural Decision Trees
Yongxin Yang, Irene Garcia Morillo, Timothy M. Hospedales
Deep neural networks have been proven powerful at processing perceptual data, such as images and audio. However for tabular data, tree-based models are more popular. A nice propert…
Learning Deep Sketch Abstraction
Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song +2
Human free-hand sketches have been studied in various contexts including sketch recognition, synthesis and fine-grained sketch-based image retrieval (FG-SBIR). A fundamental challe…