2.2k citations · 10.6k across the 92 of their papers we have counts for
12 papers · 1 filter
Richer Convolutional Features for Edge Detection
Yun Liu, Ming-Ming Cheng, Xiaowei Hu +2
In this paper, we propose an accurate edge detector using richer convolutional features (RCF). Since objects in nature images have various scales and aspect ratios, the automatical…
TextBoxes: A Fast Text Detector with a Single Deep Neural Network
Minghui Liao, Baoguang Shi, Xiang Bai +2
This paper presents an end-to-end trainable fast scene text detector, named TextBoxes, which detects scene text with both high accuracy and efficiency in a single network forward p…
Revisiting Multiple Instance Neural Networks
Xinggang Wang, Yongluan Yan, Peng Tang +2
Recently neural networks and multiple instance learning are both attractive topics in Artificial Intelligence related research fields. Deep neural networks have achieved great succ…
DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images
Wei Shen, Kai Zhao, Yuan Jiang +3
Object skeletons are useful for object representation and object detection. They are complementary to the object contour, and provide extra information, such as how object scale (t…
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification
Gui-Song Xia, Jingwen Hu, Fan Hu +4
Aerial scene classification, which aims to automatically label an aerial image with a specific semantic category, is a fundamental problem for understanding high-resolution remote…
Deep FisherNet for Object Classification
Peng Tang, Xinggang Wang, Baoguang Shi +3
Despite the great success of convolutional neural networks (CNN) for the image classification task on datasets like Cifar and ImageNet, CNN's representation power is still somewhat…