253 citations · 745 across the 24 of their papers we have counts for
13 papers · 1 filter
RANDOM MASK: Towards Robust Convolutional Neural Networks
Tiange Luo, Tianle Cai, Mengxiao Zhang +2
Robustness of neural networks has recently been highlighted by the adversarial examples, i.e., inputs added with well-designed perturbations which are imperceptible to humans but c…
Improve bone age assessment by learning from anatomical local regions
Dong Wang, Kexin Zhang, Jia Ding +1
Skeletal bone age assessment (BAA), as an essential imaging examination, aims at evaluating the biological and structural maturation of human bones. In the clinical practice, Tanne…
Memory Enhanced Global-Local Aggregation for Video Object Detection
Yihong Chen, Yue Cao, Han Hu +1
How do humans recognize an object in a piece of video? Due to the deteriorated quality of single frame, it may be hard for people to identify an occluded object in this frame by ju…
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
Dong Wang, Yuan Zhang, Kexin Zhang +1
Applying artificial intelligence techniques in medical imaging is one of the most promising areas in medicine. However, most of the recent success in this area highly relies on lar…
Robust Local Features for Improving the Generalization of Adversarial Training
Chuanbiao Song, Kun He, Jiadong Lin +2
Adversarial training has been demonstrated as one of the most effective methods for training robust models to defend against adversarial examples. However, adversarially trained mo…
Few-Shot Learning with Global Class Representations
Tiange Luo, Aoxue Li, Tao Xiang +2
In this paper, we propose to tackle the challenging few-shot learning (FSL) problem by learning global class representations using both base and novel class training samples. In ea…