388 citations · 1.3k across the 31 of their papers we have counts for
4 papers · 1 filter
Unsupervised Degradation Learning for Single Image Super-Resolution
Tianyu Zhao, Wenqi Ren, Changqing Zhang +2
Deep Convolution Neural Networks (CNN) have achieved significant performance on single image super-resolution (SR) recently. However, existing CNN-based methods use artificially sy…
SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection
Meijun Sun, Ziqi Zhou, QinGhua Hu +2
Data-driven saliency detection has attracted strong interest as a result of applying convolutional neural networks to the detection of eye fixations. Although a number of imagebase…
Detecting Adversarial Examples via Key-based Network
Pinlong Zhao, Zhouyu Fu, Ou wu +2
Though deep neural networks have achieved state-of-the-art performance in visual classification, recent studies have shown that they are all vulnerable to the attack of adversarial…
Vision Meets Drones: A Challenge
Pengfei Zhu, Longyin Wen, Xiao Bian +2
In this paper we present a large-scale visual object detection and tracking benchmark, named VisDrone2018, aiming at advancing visual understanding tasks on the drone platform. The…