Journal ArticleDOI
Multi-scale single image rain removal using a squeeze-and-excitation residual network
TLDR
A novel multi-scale rain removal model that adapts a two-branch squeeze-and-excitation residual network architecture that learns the basic structure and texture details of the corresponding clean image to effectively remove rain streaks from an image to restore its structural information and details.About:
This article is published in Applied Soft Computing.The article was published on 2020-07-01. It has received 2 citations till now.read more
Citations
More filters
Journal ArticleDOI
Fast RF-UIC: A fast unsupervised image captioning model
TL;DR: Fast RF-UIC as discussed by the authors is an unsupervised image captioning model that uses pre-trained R2-Inception-V4 model as an encoder and Bi-FGRU as a decoder.
Proceedings ArticleDOI
Underwater high-precision panoramic 3D image generation
TL;DR: In this paper, a distributed sonar and binocular vision hybrid system is used as the perception source, and the efficient data access strategy is adopted to update the weight of the corresponding voxel.
References
More filters
Proceedings Article
Adam: A Method for Stochastic Optimization
Diederik P. Kingma,Jimmy Ba +1 more
TL;DR: This work introduces Adam, an algorithm for first-order gradient-based optimization of stochastic objective functions, based on adaptive estimates of lower-order moments, and provides a regret bound on the convergence rate that is comparable to the best known results under the online convex optimization framework.
Proceedings Article
ImageNet Classification with Deep Convolutional Neural Networks
TL;DR: The state-of-the-art performance of CNNs was achieved by Deep Convolutional Neural Networks (DCNNs) as discussed by the authors, which consists of five convolutional layers, some of which are followed by max-pooling layers, and three fully-connected layers with a final 1000-way softmax.
Journal ArticleDOI
Image quality assessment: from error visibility to structural similarity
TL;DR: In this article, a structural similarity index is proposed for image quality assessment based on the degradation of structural information, which can be applied to both subjective ratings and objective methods on a database of images compressed with JPEG and JPEG2000.
Proceedings Article
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe,Christian Szegedy +1 more
TL;DR: Applied to a state-of-the-art image classification model, Batch Normalization achieves the same accuracy with 14 times fewer training steps, and beats the original model by a significant margin.
Posted Content
Adam: A Method for Stochastic Optimization
Diederik P. Kingma,Jimmy Ba +1 more
TL;DR: In this article, the adaptive estimates of lower-order moments are used for first-order gradient-based optimization of stochastic objective functions, based on adaptive estimate of lowerorder moments.