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AmphibianDetector: adaptive computation for moving objects detection
DavidSvitov, SergeyAlyamkin....
Published date-11/15/2020
ObjectDetection
Convolutional neural networks (CNN) allow achieving the highest accuracy for the task of object detection in images. Major challenges in further development of object detectors are false-positive detections and high …
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities
UriShaham, JonathanSvirsky....
Published date-11/15/2020
We propose a framework for deep ordinal regression, based on unimodal output distribution and optimal transport loss. Despite being seemingly appropriate, in many recent works the unimodality requirement is either …
Discovering long term dependencies in noisy time series data using deep learning
AlexeyKurochkin....
Published date-11/15/2020
TimeSeries
Time series modelling is essential for solving tasks such as predictive maintenance, quality control and optimisation. Deep learning is widely used for solving such problems. When managing complex manufacturing process …
CDT: Cascading Decision Trees for Explainable Reinforcement Learning
ZihanDing, PabloHernandez-Leal, GavinWeiguangDing....
Published date-11/15/2020
ImitationLearning, RepresentationLearning
Deep Reinforcement Learning (DRL) has recently achieved significant advances in various domains. However, explaining the policy of RL agents still remains an open problem due to several factors, one being …
BanglaWriting: A multi-purpose offline Bangla handwriting dataset
M.F.Mridha, AbuQuwsarOhi, M.AmeerAli....
Published date-11/15/2020
This article presents a Bangla handwriting dataset named BanglaWriting that contains single-page handwritings of 260 individuals of different personalities and ages. Each page includes bounding-boxes that bounds each word, along …
Learn an Effective Lip Reading Model without Pains
DaluFeng, ShuangYang, ShiguangShan....
Published date-11/15/2020
Lipreading, LipReading, SpeechRecognition, VisualSpeechRecognition
Lip reading, also known as visual speech recognition, aims to recognize the speech content from videos by analyzing the lip dynamics. There have been several appealing progress in recent years, …