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公开(公告)号：US20190385059A1
公开(公告)日：2019-12-19
申请号：US16421259
申请日：2019-05-23
Applicant: TuSimple, Inc.
Inventor： Zehao Huang , Naiyan Wang
Abstract: The present disclosure provides a method and an apparatus for training a neural network and a computer server. The method includes: selecting automatically input data for which processing by the neural network fails, to obtain a set of data to be annotated; annotating the set of data to be annotated to obtain a new set of annotated data; acquiring a set of newly added annotated data containing the new set of annotated data, and determining a union of the set of newly added annotated data and a set of training sample data for training the neural network in a previous period as a set of training sample data for a current period; and training the neural network iteratively based on the set of training sample data for the current period, to obtain a neural network trained in the current period.
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公开(公告)号：US20190279089A1
公开(公告)日：2019-09-12
申请号：US16416142
申请日：2019-05-17
Applicant: TUSIMPLE, INC.
Inventor： Naiyan Wang
Abstract: The present disclosure provides a method and an apparatus for neural network pruning, capable of solving the problem in the related art that compression, acceleration and accuracy cannot be achieved at the same time in network pruning. The method includes: determining (101) importance values of neurons in a network layer to be pruned based on activation values of the neurons; determining (102) a diversity value of each neuron in the network layer to be pruned based on connecting weights between the neuron and neurons in a next network layer; selecting (103), from the network layer to be pruned, neurons to be retained based on the importance values and diversity values of the neurons in the network layer to be pruned in accordance with a volume maximization neuron selection policy; and pruning (104) the other neurons from the network layer to be pruned to obtain a pruned network layer. With the above method, good compression and acceleration effects can be achieved while maintaining the accuracy of the neural network.
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Patent Agency Ranking
公开(公告)号：US11093789B2
公开(公告)日：2021-08-17
申请号：US16273835
申请日：2019-02-12
Applicant: TuSimple, Inc.
Inventor： Naiyan Wang , Jianfu Zhang
Abstract: The present disclosure provides a method and an apparatus for object re-identification, capable of solving the problem in the related art associated with inefficiency and low accuracy of object re-identification based on multiple frames of images. The method includes, for each pair of objects: selecting one of a set of images associated with each of the pair of objects, to constitute a pair of current images for the pair of objects; inputting the pair of current images to a preconfigured feature extraction network, to obtain feature information for the pair of current images; determining whether the pair of objects are one and the same object based on the feature information for the pair of current images and feature information for one or more pairs of historical images for the pair of objects by using a preconfigured re-identification network; and outputting a determination result of said determining when the determination result is that the pair of objects are one and the same object or that the pair of objects are not one and the same object, or repeating the above steps using the pair of current images as a pair of historical images for the pair of objects when the determination result is that it is uncertain whether the pair of objects are one and the same object. With the solutions according to the present disclosure, the speed and efficiency of the object re-identification can be improved.
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公开(公告)号：US12175637B2
公开(公告)日：2024-12-24
申请号：US18344577
申请日：2023-06-29
Applicant: TUSIMPLE, INC. , BEIJING TUSEN WEILAI TECHNOLOGY CO., LTD.
Inventor： Pengfei Chen , Nan Yu , Naiyan Wang , Xiaodi Hou
Abstract: Disclosed are devices, systems and methods for processing an image. In one aspect a method includes receiving an image from a sensor array including an x-y array of pixels, each pixel in the x-y array of pixels having a value selected from one of three primary colors, based on a corresponding x-y value in a mask pattern. The method may further include generating a preprocessed image by performing preprocessing on the image. The method may further include performing perception on the preprocessed image to determine one or more outlines of physical objects.
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公开(公告)号：US11694308B2
公开(公告)日：2023-07-04
申请号：US17308911
申请日：2021-05-05
Applicant: TUSIMPLE, INC.
Inventor： Pengfei Chen , Nan Yu , Naiyan Wang , Xiaodi Hou
CPC classification number: G06T5/002 , B60W40/02 , G06T5/004 , G06T5/009 , H04N25/13 , B60W2420/42 , G06T2207/10024
Abstract: Disclosed are devices, systems and methods for processing an image. In one aspect a method includes receiving an image from a sensor array including an x-y array of pixels, each pixel in the x-y array of pixels having a value selected from one of three primary colors, based on a corresponding x-y value in a mask pattern. The method may further include generating a preprocessed image by performing preprocessing on the image. The method may further include performing perception on the preprocessed image to determine one or more outlines of physical objects.
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公开(公告)号：US11010874B2
公开(公告)日：2021-05-18
申请号：US16381707
申请日：2019-04-11
Applicant: TuSimple, Inc.
Inventor： Pengfei Chen , Nan Yu , Naiyan Wang , Xiaodi Hou
Abstract: Disclosed are devices, systems and methods for processing an image. In one aspect a method includes receiving an image from a sensor array including an x-y array of pixels, each pixel in the x-y array of pixels having a value selected from one of three primary colors, based on a corresponding x-y value in a mask pattern. The method may further include generating a preprocessed image by performing preprocessing on the image. The method may further include performing perception on the preprocessed image to determine one or more outlines of physical objects.
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公开(公告)号：US20190384982A1
公开(公告)日：2019-12-19
申请号：US16421320
申请日：2019-05-23
Applicant: TuSimple, Inc.
Inventor： Zehao Huang , Naiyan Wang
Abstract: The present disclosure provides a method and an apparatus for sampling training data and a computer server. The method includes: inputting a video to a target detection model to obtain a detection result for each frame of image; inputting the detection results for all frames of images in the video to a target tracking model, to obtain a tracking result for each frame of image; and for each frame of image in the video: matching the detection result and the tracking result for the frame of image, and when the detection result and the tracking result for the frame of image are inconsistent with each other, determining the frame of image as a sample image to be marked, for which processing by the target detection model is not optimal.
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