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PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
ThomasDefard, AleksandrSetkov, AngeliqueLoesch....
Published date-11/17/2020
AnomalyDetection, UnsupervisedAnomalyDetection
We present a new framework for Patch Distribution Modeling, PaDiM, to concurrently detect and localize anomalies in images in a one-class learning setting. PaDiM makes use of a pretrained convolutional …
Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text Classifier
BimalBhattarai, Ole-ChristofferGranmo, LeiJiao....
Published date-11/17/2020
TextClassification
Most supervised text classification approaches assume a closed world, counting on all classes being present in the data at training time. This assumption can lead to unpredictable behaviour during operation, …
Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration
YaroslavaLochman, OlesDobosevych, RostyslavHryniv....
Published date-11/17/2020
CameraAuto-Calibration, Rectification, SceneLabeling, SceneParsing
This paper proposes minimal solvers that use combinations of imaged translational symmetries and parallel scene lines to jointly estimate lens undistortion with either affine rectification or focal length and absolute …
Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining
ZijunSun, ChunFan, XiaofeiSun....
Published date-11/17/2020
LanguageModelling, TextClassification
The goal of semi-supervised learning is to utilize the unlabeled, in-domain dataset U to improve models trained on the labeled dataset D. Under the context of large-scale language-model (LM) pretraining, …
Deep Learning Framework From Scratch Using Numpy
AndreiNicolae....
Published date-11/17/2020
This work is a rigorous development of a complete and general-purpose deep learning framework from the ground up. The fundamental components of deep learning - automatic differentiation and gradient methods …
ACSC: Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems
JiaheCui, JianweiNiu, ZhenchaoOuyang....
Published date-11/17/2020
Recently, the rapid development of Solid-State LiDAR (SSL) enables low-cost and efficient obtainment of 3D point clouds from the environment, which has inspired a large quantity of studies and applications. …