3 papers
cs.CV2018
Semantic Network Interpretation
Pei Guo, Ryan Farrell
Network interpretation as an effort to reveal the features learned by a network remains largely visualization-based. In this paper, our goal is to tackle semantic network interpret…
cs.CV2018
Aligned to the Object, not to the Image: A Unified Pose-aligned Representation for Fine-grained Recognition
Pei Guo, Ryan Farrell
Dramatic appearance variation due to pose constitutes a great challenge in fine-grained recognition, one which recent methods using attention mechanisms or second-order statistics…
cs.CV2017
Pairwise Confusion for Fine-Grained Visual Classification
Abhimanyu Dubey, Otkrist Gupta, Pei Guo +3
Fine-Grained Visual Classification (FGVC) datasets contain small sample sizes, along with significant intra-class variation and inter-class similarity. While prior work has address…