Xiangyu Zhang

Research topics

• Domain Adaptation and Few-Shot Learning · 3 papers
• Advanced Neural Network Applications · 3 papers
• Advanced Image and Video Retrieval Techniques · 2 papers
• Adversarial Robustness in Machine Learning · 1 paper

Frequent co-authors

• Kaiming He · 3 papers
• Shaoqing Ren · 3 papers
• Jian Sun · 1 paper
• Jian Sun · 1 paper
• Jian Zhong Sun · 1 paper

Papers

1. Deep Residual Learning for Image Recognition2016 · 229,413 citations

   Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously. We explicitly reformulate the layers as learning residual functions with reference to…

2. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification2015 · 19,060 citations

   Rectified activation units (rectifiers) are essential for state-of-the-art neural networks. In this work, we study rectifier neural networks for image classification from two aspects. First, we propose a Parametric Rectified Linear Unit (PReLU) that generalizes the traditional rectified unit. PReLU…

3. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence · 2015 · 11,618 citations

   Existing deep convolutional neural networks (CNNs) require a fixed-size (e.g., 224 × 224) input image. This requirement is "artificial" and may reduce the recognition accuracy for the images or sub-images of an arbitrary size/scale. In this work, we equip the…