Home /

Research

Showing 781 - 786 / 897

DeepReg: a deep learning toolkit for medical image registration

Authors:  YunguanFu, NinaMontañaBrown, ShaheerU.Saeed....
Published date-11/04/2020
Tasks:  ImageRegistration, MedicalImageRegistration

Abstract: DeepReg (https://github.com/DeepRegNet/DeepReg) is a community-supported open-source toolkit for research and education in medical image registration using deep learning.
Paper Code

Lightweight Model For The Prediction of COVID-19 Through The Detection And Segmentation of Lesions in Chest CT Scans

Authors:  AramTer-Sarkisov....
Published date-11/04/2020
1x1 Convolution
Activation Functions
Auxiliary Classifier
Average Pooling
Batch Normalization
Tasks:  COVID-19Diagnosis, COVID-19ImageSegmentation, InstanceSegmentation, SemanticSegmentation

Abstract: We introduce a lightweight Mask R-CNN model that segments areas with the Ground Glass Opacity and Consolidation in chest CT scans. The model uses truncated ResNet18 and ResNet34 nets with …
Paper Code

Handwriting Classification for the Analysis of Art-Historical Documents

Authors:  ChristianBartz, HendrikRätz, ChristophMeinel....
Published date-11/04/2020
Tasks:  OpticalCharacterRecognition, TextClassification

Abstract: Digitized archives contain and preserve the knowledge of generations of scholars in millions of documents. The size of these archives calls for automatic analysis since a manual analysis by specialists …
Paper Code

Diversity-Enriched Option-Critic

Authors:  AnandKamat, DoinaPrecup....
Published date-11/04/2020
Tasks:  ContinuousControl

Abstract: Temporal abstraction allows reinforcement learning agents to represent knowledge and develop strategies over different temporal scales. The option-critic framework has been demonstrated to learn temporally extended actions, represented as options, …
Paper Code

Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning

Authors:  LeChen, YunkeAo, FlorianTschopp....
Published date-11/04/2020

Abstract: Visual-inertial systems rely on precise calibrations of both camera intrinsics and inter-sensor extrinsics, which typically require manually performing complex motions in front of a calibration target. In this work we …
Paper Code

Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding

Authors:  MikeRoberts, NathanPaczan....
Published date-11/04/2020
Tasks:  indoorsceneunderstanding, Multi-TaskLearning, SceneUnderstanding

Abstract: For many fundamental scene understanding tasks, it is difficult or impossible to obtain per-pixel ground truth labels from real images. We address this challenge by introducing Hypersim, a photorealistic synthetic …
Paper Code

Filter by

Categories

Tags