518 citations
- Dalian University of TechnologyCN24 papers
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- Czech Academy of Sciences, Institute of Information Theory and AutomationCZ5 papers
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9 papers · 1 filter
ForCM: Forest Cover Mapping from Multispectral Sentinel-2 Image by Integrating Deep Learning with Object-Based Image Analysis
Maisha Haque, Israt Jahan Ayshi, Sadaf M. Anis +8
This research proposes "ForCM", a novel approach to forest cover mapping that combines Object-Based Image Analysis (OBIA) with Deep Learning (DL) using multispectral Sentinel-2 ima…
Multiple Instance Learning for Cheating Detection and Localization in Online Examinations
Yemeng Liu, Jing Ren, Jianshuo Xu +3
The spread of the Coronavirus disease-2019 epidemic has caused many courses and exams to be conducted online. The cheating behavior detection model in examination invigilation syst…
A novel network training approach for open set image recognition
Md Tahmid Hossain, Shyh Wei Teng, Guojun Lu +1
Convolutional Neural Networks (CNNs) are commonly designed for closed set arrangements, where test instances only belong to some "Known Known" (KK) classes used in training. As suc…
Integrated Generalized Zero-Shot Learning for Fine-Grained Classification
Tasfia Shermin, Shyh Wei Teng, Ferdous Sohel +2
Embedding learning (EL) and feature synthesizing (FS) are two of the popular categories of fine-grained GZSL methods. EL or FS using global features cannot discriminate fine detail…
Adversarial Network with Multiple Classifiers for Open Set Domain Adaptation
Tasfia Shermin, Guojun Lu, Shyh Wei Teng +2
Domain adaptation aims to transfer knowledge from a domain with adequate labeled samples to a domain with scarce labeled samples. Prior research has introduced various open set dom…
Robust Image Classification Using A Low-Pass Activation Function and DCT Augmentation
Md Tahmid Hossain, Shyh Wei Teng, Ferdous Sohel +1
Convolutional Neural Network's (CNN's) performance disparity on clean and corrupted datasets has recently come under scrutiny. In this work, we analyse common corruptions in the fr…