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8 papers · 2 filters
MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation
Jiawei Zhang, Yuzhen Jin, Jilan Xu +2
Biomedical image segmentation plays a central role in quantitative analysis, clinical diagnosis, and medical intervention. In the light of the fully convolutional networks (FCN) an…
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Xiaojun Jia, Xingxing Wei, Xiaochun Cao +1
Deep neural networks (DNNs) have been demonstrated to be vulnerable to adversarial examples. Specifically, adding imperceptible perturbations to clean images can fool the well trai…
BLP -- Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization
Weijie Kong, Nannan Li, Shan Liu +2
Despite tremendous progress achieved in temporal action detection, state-of-the-art methods still suffer from the sharp performance deterioration when localizing the starting and e…
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training
Feng Zheng, Cheng Deng, Xing Sun +5
Most existing Re-IDentification (Re-ID) methods are highly dependent on precise bounding boxes that enable images to be aligned with each other. However, due to the challenging pra…
LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking
Heng Fan, Liting Lin, Fan Yang +7
In this paper, we present LaSOT, a high-quality benchmark for Large-scale Single Object Tracking. LaSOT consists of 1,400 sequences with more than 3.5M frames in total. Each frame…
Rain Streak Removal for Single Image via Kernel Guided CNN
Ye-Tao Wang, Xi-Le Zhao, Tai-Xiang Jiang +3
Rain streak removal is an important issue and has recently been investigated extensively. Existing methods, especially the newly emerged deep learning methods, could remove the rai…