Results 11 to 20 of about 5,860,744 (317)
Detecting the unknown in Object Detection
CoRR, 2022 Object detection methods have witnessed impressive improvements in the last years thanks to the design of novel neural network architectures and the availability of large scale datasets. However, current methods have a significant limitation: they are able to detect only the classes observed during training time, that are only a subset of all the ...
Dario Fontanel +3 more
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Detect to Track and Track to Detect [PDF]
2017 IEEE International Conference on Computer Vision (ICCV), 2017 ICCV 2017. Code and models: https://github.com/feichtenhofer/Detect-Track Results: https://www.robots.ox.ac.uk/~vgg/research/detect-track/
Feichtenhofer, C, Pinz, A, Zisserman, A
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Spoofing Attack Detection by Anomaly Detection [PDF]
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 Spoofing attacks on biometric systems can seriously compromise their practical utility. In this paper we focus on face spoofing detection. The majority of papers on spoofing attack detection formulate the problem as a two or multiclass learning task, attempting to separate normal accesses from samples of different types of spoofing attacks.
Fatemifar, S. +3 more
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CoRR, 2017 Our goal is to empirically discover how censors react to the introduction of new proxy servers that can be used to circumvent their information controls. We examine a specific case, that of obfuscated Tor bridges, and conduct experiments designed to discover how long it takes censors to block them (if they do block at all).
David Fifield, Lynn Tsai, Qi Zhong
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seabass-detection/seabass-detection v.01-alpha [PDF]
, 2019 <p>Example code and images for paper Using Machine Vision to Estimate Fish Length from Images using Regional Convolutional Neural Networks in journal Methods in Ecology and Evolution.</p ...
seabass-detection
core +1 more source
Principal component analysis and perturbation theory–based robust damage detection of multifunctional aircraft structure [PDF]
, 2013 A fundamental problem in structural damage detection is to define an efficient feature to calculate a damage index. Furthermore, due to perturbations from various sources, we also need to define a rigorous threshold whose overtaking indicates the ...
HAJRYA, Rafik, MECHBAL, Nazih
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Separation of excitation and detection coils for in vivo detection of superparamagnetic iron oxide nanoparticles [PDF]
, 2019 A novel probe for laparoscopic in vivo detection of superparamagnetic iron oxide nanoparticles (SPIONs) has been developed. The main application for in vivo detection of SPIONs our research group aims at is sentinel node biopsy.
van de Loosdrecht, Melissa Mathilde +3 more
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Exploring Online Novelty Detection Using First Story Detection Models [PDF]
, 2018 Online novelty detection is an important technology in understanding and exploiting streaming data. One application of online novelty detection is First Story Detection (FSD) which attempts to find the very first story about a new topic, e.g.
Wang, Fei +5 more
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Anomaly detection and community detection in networks
Journal of Big Data, 2022 AbstractAnomaly detection is a relevant problem in the area of data analysis. In networked systems, where individual entities interact in pairs, anomalies are observed when pattern of interactions deviates from patterns considered regular. Properly defining what regular patterns entail relies on developing expressive models for describing the observed ...
Hadiseh Safdari, Caterina De Bacco
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Motion classification for radar moving target via STFT and convolution neural network
The Journal of Engineering, 2019 Radar moving target detection (MTD) technology is a key technology in the field of radar signal processing. The MTD method of radar has a better performance when applied to uniform motion detection although it has limited performance in other aspects ...
Xiaoqian Mou +3 more
doaj +1 more source