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Differences between human and machine perception in medical diagnosis

Authors:  TaroMakino, StanislawJastrzebski, WitoldOleszkiewicz....
Published date-11/28/2020
Tasks:  BreastCancerDetection, MedicalDiagnosis

Abstract: Deep neural networks (DNNs) show promise in image-based medical diagnosis, but cannot be fully trusted since their performance can be severely degraded by dataset shifts to which human perception remains …
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Batch Normalization with Enhanced Linear Transformation

Authors:  YuhuiXu, LingxiXie, CihangXie....
Published date-11/28/2020

Abstract: Batch normalization (BN) is a fundamental unit in modern deep networks, in which a linear transformation module was designed for improving BN's flexibility of fitting complex data distributions. In this …
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Towards Fast and Light-Weight Restoration of Dark Images

Authors:  MohitLamba, AtulBalaji, KaushikMitra....
Published date-11/28/2020
Tasks:  ImageReconstruction

Abstract: The ability to capture good quality images in the dark and near-zero lux conditions has been a long-standing pursuit of the computer vision community. The seminal work by Chen et …
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Clinical prediction system of complications among COVID-19 patients: a development and validation retrospective multicentre study

Authors:  GhadeerO.Ghosheh, BanaAlamad, Kai-WenYang....
Published date-11/28/2020
Tasks:  ModelSelection

Abstract: Existing prognostic tools mainly focus on predicting the risk of mortality among patients with coronavirus disease 2019. However, clinical evidence suggests that COVID-19 can result in non-mortal complications that affect …
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AdaBins: Depth Estimation using Adaptive Bins

Authors:  ShariqFarooqBhat, IbraheemAlhashim, PeterWonka....
Published date-11/28/2020
EfficientNet
Image Models
Vision Transformer
Tasks:  DepthEstimation, MonocularDepthEstimation

Abstract: We address the problem of estimating a high quality dense depth map from a single RGB input image. We start out with a baseline encoder-decoder convolutional neural network architecture and …
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TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game

Authors:  LeiHan, JiechaoXiong, PengSun....
Published date-11/27/2020
1x1 Convolution
Accumulating Eligibility Trace
Activation Functions
Adam
Additive Attention
Tasks:  ImitationLearning, Starcraft, StarcraftII

Abstract: StarCraft, one of the most difficult esport games with long-standing history of professional tournaments, has attracted generations of players and fans, and also, intense attentions in artificial intelligence research. Recently, …
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