44 citations · 137 across the 8 of their papers we have counts for
7 papers · 1 filter
Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition
Hanrui Wang, Shuo Wang, Zhe Jin +3
The majority of adversarial attack techniques perform well against deep face recognition when the full knowledge of the system is revealed (\emph{white-box}). However, such techniq…
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
Tao Wei, Angelica I Aviles-Rivero, Shuo Wang +4
The task of classifying mammograms is very challenging because the lesion is usually small in the high resolution image. The current state-of-the-art approaches for medical image c…
A Multimodal Late Fusion Model for E-Commerce Product Classification
Ye Bi, Shuo Wang, Zhongrui Fan
The cataloging of product listings is a fundamental problem for most e-commerce platforms. Despite promising results obtained by unimodal-based methods, it can be expected that the…
Loss Function Search for Face Recognition
Xiaobo Wang, Shuo Wang, Cheng Chi +2
In face recognition, designing margin-based (e.g., angular, additive, additive angular margins) softmax loss functions plays an important role in learning discriminative features.…
Mis-classified Vector Guided Softmax Loss for Face Recognition
Xiaobo Wang, Shifeng Zhang, Shuo Wang +3
Face recognition has witnessed significant progress due to the advances of deep convolutional neural networks (CNNs), the central task of which is how to improve the feature discri…
Improved Selective Refinement Network for Face Detection
Shifeng Zhang, Rui Zhu, Xiaobo Wang +5
As a long-standing problem in computer vision, face detection has attracted much attention in recent decades for its practical applications. With the availability of face detection…