68 citations · 107 across the 7 of their papers we have counts for
7 papers
DocFormerv2: Local Features for Document Understanding
Srikar Appalaraju, Peng Tang, Qi Dong +3
We propose DocFormerv2, a multi-modal transformer for Visual Document Understanding (VDU). The VDU domain entails understanding documents (beyond mere OCR predictions) e.g., extrac…
AF: Adaptive Focus Framework for Aerial Imagery Segmentation
Lin Huang, Qiyuan Dong, Lijun Wu +3
As a specific semantic segmentation task, aerial imagery segmentation has been widely employed in high spatial resolution (HSR) remote sensing images understanding. Besides common…
Unsupervised Deep Learning by Neighbourhood Discovery
Jiabo Huang, Qi Dong, Shaogang Gong +1
Deep convolutional neural networks (CNNs) have demonstrated remarkable success in computer vision by supervisedly learning strong visual feature representations. However, training…
Single-Label Multi-Class Image Classification by Deep Logistic Regression
Qi Dong, Xiatian Zhu, Shaogang Gong
The objective learning formulation is essential for the success of convolutional neural networks. In this work, we analyse thoroughly the standard learning objective functions for…
Imbalanced Deep Learning by Minority Class Incremental Rectification
Qi Dong, Shaogang Gong, Xiatian Zhu
Model learning from class imbalanced training data is a long-standing and significant challenge for machine learning. In particular, existing deep learning methods consider mostly…
Class Rectification Hard Mining for Imbalanced Deep Learning
Qi Dong, Shaogang Gong, Xiatian Zhu
Recognising detailed facial or clothing attributes in images of people is a challenging task for computer vision, especially when the training data are both in very large scale and…