Semi-supervised label enhancement via structured semantic extraction

Wen, Tao; Li, Weiwei; Chen, Lei; Jia, Xiuyi

doi:10.1007/s13042-021-01439-w

Cited by 7 publications

(3 citation statements)

References 20 publications

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“…Assuming that the network input is x and the advantage is h (x), after H (x) � f (x) + x plus its own report, the target of network training will change from H (x). f (x), and the remaining H (x) − x reduces the learning difficulty [14]. Among them, the three-tier training class draws instructions from the 1 × 1 rotation on Nin and Google Minds, which can reduce negative numbers.…”

Section: Methodsmentioning

confidence: 99%

High-Precision Target Detection of Remote Sensing Image Based on Feature Enhancement with 6G Technology

Chen

2022

Advances in Multimedia

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We provide remote sensing image enhancement technology based on 6G nursing urine technology to solve the main problems and current challenges of target detection in remote sensing imaging. High-resolution images: to get a good image, first look at the remote control image, and objective findings on the remote control image play an important role in this process. Military and civilian use: at present, many advanced object detection algorithms have achieved success in natural imaging, but their development is limited by two factors: large variation in object size and low detection accuracy, the scale, rotation direction, and distribution density of remote sensing images. On the other hand, the first remote sensing image is usually a high-resolution, large-scale image, which requires more time than blank image detection. The model is fine-tuned on the ICDAR2015 training package for 60,000 repetitions. The same model experimentally reduced the image to 1280 × 768 and displayed the results in one dimension. Therefore, in order to solve the problem of low detection due to changes in azimuth, rotation direction, and velocity distribution, it is necessary to further study methods for detecting large-capacity remote sensing objects using abundant high-precision remote sensing technologies, sensing imaging service on remote sensing maps.

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Section: Methodsmentioning

confidence: 99%

High-Precision Target Detection of Remote Sensing Image Based on Feature Enhancement with 6G Technology

Chen

2022

Advances in Multimedia

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“…Here, an efficient open-source software toolkit called ThunderSVM was used to accelerate the SVR calculation. 36)…”

Section: Multiple Coulomb Scattering In An Emulsion Cloud Chambermentioning

confidence: 99%

“…An efficient open-source software toolkit called ThunderSVM was used to accelerate the SVR calculation. 36) ORCID iDs Satoshi Jinno https://orcid.org/0000-0001-6583-9980 Satoshi Kodaira https://orcid.org/0000-0003-4216-6984 Yuji Fukuda https://orcid.org/0000-0002-1348-0483 Tomoya Yamauchi https://orcid.org/0000-0001-6584-6750 Masato Kanasaki https://orcid.org/0000-0002-7668-5216…”

Section:  mentioning

confidence: 99%

Measurement method for laser-accelerated multi-hundred-MeV protons utilizing multiple Coulomb scattering in an emulsion cloud chamber

Asai

Inoue

Jinno

et al. 2023

Jpn. J. Appl. Phys.

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We have developed a measurement method for laser-accelerated multi-hundred-MeV-class protons using an emulsion cloud chamber (ECC), which consists of a stack of nuclear emulsion films and scatterer plates. Based on multiple Coulomb scattering (MCS) theory depending on the incident energy of protons, we have constructed a regression model to inversely estimate the incident energy by means of support vector regression (SVR) with a radial basis function. The prediction accuracy was approximately 10% (standard deviation) for protons with energies up to 0.3 GeV in a 25-layer ECC with 0.5-mm-thick tungsten plates, corresponding to a 2-cm-thick compact detector.

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Ranking-preserved generative label enhancement

Lu,

Li,

et al. 2023

Mach Learn

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Semi-supervised label enhancement via structured semantic extraction

Cited by 7 publications

References 20 publications

High-Precision Target Detection of Remote Sensing Image Based on Feature Enhancement with 6G Technology

High-Precision Target Detection of Remote Sensing Image Based on Feature Enhancement with 6G Technology

Measurement method for laser-accelerated multi-hundred-MeV protons utilizing multiple Coulomb scattering in an emulsion cloud chamber

Ranking-preserved generative label enhancement

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