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20072026
most citedA Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

2.7k citations

Showing 2018 · cs.CVShow all

9 papers · 2 filters

cs.CV2018★ 4 cited

HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images

Runmin Cong, Jianjun Lei, Huazhu Fu +3

Co-saliency detection aims to discover common and salient objects in an image group containing more than two relevant images. Moreover, depth information has been demonstrated to b…

cs.CV2018★ 17 cited

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…

cs.CV2018★ 29 cited

Transferable Adversarial Attacks for Image and Video Object Detection

Xingxing Wei, Siyuan Liang, Ning Chen +1

Adversarial examples have been demonstrated to threaten many computer vision tasks including object detection. However, the existing attacking methods for object detection have two…

cs.CV2018★ 218 cited

Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation

Shiming Ge, Shengwei Zhao, Chenyu Li +1

Typically, the deployment of face recognition models in the wild needs to identify low-resolution faces with extremely low computational cost. To address this problem, a feasible s…

cs.CV2018★ 1 cited

Image Captioning based on Deep Reinforcement Learning

Haichao Shi, Peng Li, Bo Wang +1

Recently it has shown that the policy-gradient methods for reinforcement learning have been utilized to train deep end-to-end systems on natural language processing tasks. What's m…

cs.CV2018★ 401 cited

Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image

Huazhu Fu, Jun Cheng, Yanwu Xu +4

Glaucoma is a chronic eye disease that leads to irreversible vision loss. Most of the existing automatic screening methods firstly segment the main structure, and subsequently calc…

cs.CV2018★ 61 cited

Gated Fusion Network for Single Image Dehazing

Wenqi Ren, Lin Ma, Jiawei Zhang +4

In this paper, we propose an efficient algorithm to directly restore a clear image from a hazy input. The proposed algorithm hinges on an end-to-end trainable neural network that c…

cs.CV2018★ 842 cited

Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation

Huazhu Fu, Jun Cheng, Yanwu Xu +3

Glaucoma is a chronic eye disease that leads to irreversible vision loss. The cup to disc ratio (CDR) plays an important role in the screening and diagnosis of glaucoma. Thus, the…

cs.CV2018★ 13 cited

Cross-domain Human Parsing via Adversarial Feature and Label Adaptation

Si Liu, Yao Sun, Defa Zhu +4

Human parsing has been extensively studied recently due to its wide applications in many important scenarios. Mainstream fashion parsing models focus on parsing the high-resolution…