5 citations · 14 across the 9 of their papers we have counts for
11 papers
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification
Suorong Yang, Jinqiao Li, Jian Zhao +1
Data augmentation is a widely used technique for enhancing the generalization ability of convolutional neural networks (CNNs) in image classification tasks. Occlusion is a critical…
AugRmixAT: A Data Processing and Training Method for Improving Multiple Robustness and Generalization Performance
Xiaoliang Liu, Furao Shen, Jian Zhao +1
Deep neural networks are powerful, but they also have shortcomings such as their sensitivity to adversarial examples, noise, blur, occlusion, etc. Moreover, ensuring the reliabilit…
Review Neural Networks about Image Transformation Based on IGC Learning Framework with Annotated Information
Yuanjie Yan, Suorong Yang, Yan Wang +2
Image transformation, a class of vision and graphics problems whose goal is to learn the mapping between an input image and an output image, develops rapidly in the context of deep…
SASICM A Multi-Task Benchmark For Subtext Recognition
Hua Yan, Feng Han, Junyi An +3
Subtext is a kind of deep semantics which can be acquired after one or more rounds of expression transformation. As a popular way of expressing one's intentions, it is well worth s…
Faster and Simpler Siamese Network for Single Object Tracking
Shaokui Jiang, Baile Xu, Jian Zhao +1
Single object tracking (SOT) is currently one of the most important tasks in computer vision. With the development of the deep network and the release for a series of large scale d…
IC Networks: Remodeling the Basic Unit for Convolutional Neural Networks
Junyi An, Fengshan Liu, Jian Zhao +1
Convolutional neural network (CNN) is a class of artificial neural networks widely used in computer vision tasks. Most CNNs achieve excellent performance by stacking certain types…