Results 11 to 20 of about 5,834,884 (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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Modeling and validation of mechanoluminescent strain sensing mechanism at quasi-static loading rates
Materials & Design, 2023 Mechanoluminescence (ML) sensors offer full-field strain/stress measurements and have the advantages of easy implementation, non-invasiveness, and low cost.
Bing Chen +5 more
doaj +1 more source
Computer Assisted Surgery, 2019 To improve the quality of the super-resolution (SR) reconstructed medical images, an improved adaptive multi-dictionary learning method is proposed, which uses the combined information of medical image itself and the natural images database.
Fang Zhang +7 more
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Fluorometric assay for quantitation of biotin covalently attached to proteins and nucleic acids
BioTechniques, 2007 As a component of the (strept)avidin affinity system, biotin is often covalently linked to proteins or nucleic acids. We describe here a microplate-based high-throughput fluorometric assay for biotin linked to either proteins or nucleic acids based on ...
Robert H. Batchelor +3 more
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Encoder-decoder with dense dilated spatial pyramid pooling for prostate MR images segmentation
Computer Assisted Surgery, 2019 Automatic segmentation of prostate magnetic resonance (MR) images has great significance for the diagnosis and clinical application of prostate diseases.
Lei Geng +5 more
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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
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Communications Biology, 2021 Montoya Mira & Sapre et al. design a microfluidic device utilizing dielectrophoresis for the enrichment of circulating neoplastic cells that possess both epithelial and immune-like characteristics. They optimized the device using in vitro models and then
Jose Montoya Mira +9 more
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