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UTILIZING DEEP LEARNING FOR BOUNDARY-AWARE IMAGE SEGMENTATION

Номер патента: US20170287137A1
Опубликовано: 05-10-2017
Автор(ы): Lin Zhe, Lu Xin, Shen Xiaohui, Song Yibing, Yang Jimei
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Stuck-at fault mitigation method for ReRAM-based deep learning accelerators

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Method for annotation based on deep learning

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Deep learning particle classification platform

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Transformer translation system for deep learning using triple sentence pair

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Multivariate time series forecaster using deep learning

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Ein auf Deep Learning basierendes System zur Erkennung, Klassifizierung und Optimierung der landwirtschaftlichen Produktivität von Obstkrankheiten

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Method and a system for testing machine learning and deep learning models for robustness, and durability against adversarial bias and privacy attacks

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Method of slicing deep learning model for heterogeneous embedded system and inferencing method based on sliced deep learning model in heterogeneous embedded system

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Method and apparatus for deep learning

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Weight initialization method and apparatus for stable learning of deep learning model using activation function

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Apparatus and method for secure deep-learning model service

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Apparatus for training deep learning model

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Device and method for parallel processing of deep learning model

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Preservation of deep learning classifier confidence distributions

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Method for protecting deep learning model based on confidential computing

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Method for generating program for use in accelerator for deep learning

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Embedded networked deep learning for implanted medical devices

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Query-based database linkage distributed deep learning system, and method therefor

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Method for image segmentation matching

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Integrated Deep Learning Workflow for Geologically Sequestered CO2 Monitoring

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Device and method for generating deep learning model graph and abstract syntax tree for integrated compiler

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Deep learning systems and methods for predicting structural aspects of protein-related complexes

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System und verfahren zum trainieren eines deep-learning-systems zum erkennen von motorklopfen mit einer genauigkeit, die mit hochpräzisen klopferkennungssensoren verbunden ist, obwohl daten von einem niedrigpräzisen klopferkennungssensor verwendet werden

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Systems, methods, and apparatuses for integrating a defense mechanism into deep-learning-based systems to defend against adversarial attacks

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Deep learning based method and system for detecting abnormal cryptocurrency transaction between computing devices in a blockchain network

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Deep learning-based fraud detection method

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Communication system and codec method based on deep learning and known channel state information

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Corner rounding method of opc pattern based on deep learning, and opc method and mask manufacturing method including the corner rounding method

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Collaborative deep learning methods and collaborative deep learning apparatuses

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Code adaptation through deep learning

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Code adaptation through deep learning

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A device and method used for scoring the conformity of ultrasonography image marked/scored with deep learning, machine learning, artificial intelligence techniques

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System and method for identifying and navigating anatomical objects using deep learning networks

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Automatic beam modeling based on deep learning

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Systems and methods for semantic image segmentation model learning new object classes

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Protecting deep learning models using watermarking

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Deep learning machine and operation method thereof

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Method and apparatus for recognizing SPO tuple relationship based on deep learning and score and probability associated with a SPO relationship class

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Deep learning model prediction method of drug ic50 based on molecular structure and gene expression

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Apparatus and method for improving resolution and accuracy of IMU sensor using deep learning

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A deep learning model for learning program embeddings

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Visual programming for deep learning

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System and method for analysis of integrated circuit testing anomalies based on deep learning

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Intelligent Microphone having Deep Learning Accelerator and Random Access Memory

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Integrated Sensor Device with Deep Learning Accelerator and Random Access Memory

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Directional drivers of deep learning models based on model gradients

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