The Technology Behind our Recent Improvements in Flood Forecasting
Visit source site
Read moreImitation Learning in the Low-Data Regime
Visit source site
Read moreImproving Sparse Training with RigL
Visit source site
Read moreImproving the Accuracy of Genomic Analysis with DeepVariant 1.0
Visit source site
Read moreAdvancing NLP with Efficient Projection-Based Model Architectures
Visit source site
Read more
PMVOS: Pixel-Level Matching-Based Video Object Segmentation
Semi-supervised video object segmentation (VOS) aims to segment arbitrary target objects in video when the ground truth segmentation mask of the initial frame is provided. Due to this limitation of using prior knowledge about the target object, feature matching, which compares template features representing the target object with input features, is an essential step… Recently, pixel-level matching (PM), which matches every pixel in template features and input features, has been widely used for feature matching because of its high performance. […]
Read more
Face Sketch Synthesis with Style Transfer using Pyramid Column Feature
In this paper, we propose a novel framework based on deep neural networks for face sketch synthesis from a photo. Imitating the process of how artists draw sketches, our framework synthesizes face sketches in a cascaded manner… A content image is first generated that outlines the shape of the face and the key facial features. Textures and shadings are then added to enrich the details of the sketch. We utilize a fully convolutional neural network (FCNN) to create the content […]
Read more
Residual Spatial Attention Network for Retinal Vessel Segmentation
Reliable segmentation of retinal vessels can be employed as a way of monitoring and diagnosing certain diseases, such as diabetes and hypertension, as they affect the retinal vascular structure. In this work, we propose the Residual Spatial Attention Network (RSAN) for retinal vessel segmentation… RSAN employs a modified residual block structure that integrates DropBlock, which can not only be utilized to construct deep networks to extract more complex vascular features, but can also effectively alleviate the overfitting. Moreover, in order […]
Read more