187 citations · 402 across the 16 of their papers we have counts for
4 papers · 1 filter
PMC-GANs: Generating Multi-Scale High-Quality Pedestrian with Multimodal Cascaded GANs
Jie Wu, Ying Peng, Chenghao Zheng +2
Recently, generative adversarial networks (GANs) have shown great advantages in synthesizing images, leading to a boost of explorations of using faked images to augment data. This…
Adversarial AutoAugment
Xinyu Zhang, Qiang Wang, Jian Zhang +1
Data augmentation (DA) has been widely utilized to improve generalization in training deep neural networks. Recently, human-designed data augmentation has been gradually replaced b…
Relational Mimic for Visual Adversarial Imitation Learning
Lionel Blondé, Yichuan Charlie Tang, Jian Zhang +1
In this work, we introduce a new method for imitation learning from video demonstrations. Our method, Relational Mimic (RM), improves on previous visual imitation learning methods…
Unsupervised Part Mining for Fine-grained Image Classification
Runsheng Zhang, jian zhang, Yaping Huang +1
Fine-grained image classification remains challenging due to the large intra-class variance and small inter-class variance. Since the subtle visual differences are only in local re…