Tag：semantics
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Time：2021-10-12
At present, the mainstream algorithm model of automatic driving is mainly based on supervised deep learning. It is an algorithm model based on the derivation of functional relationship between known variables and dependent variables. It needs a large number of structured annotation data to train and optimize the model. Common annotation types in the field […]
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Time：2021-10-11
Aiming at the problem of current anchor free target detection algorithm, this paper proposes ddbnet, which evaluates the prediction frame more accurately, including the judgment of positive and negative samples and IOU. The innovation of ddbnet mainly lies in box decomposition and reorganization module (D & R) and semantic consistency module, which are used to […]
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Time：2021-9-30
order This paper mainly studies the join operation of the Flink datastream example stream.join(otherStream) .where(<KeySelector>) .equalTo(<KeySelector>) .window(<WindowAssigner>) .apply(<JoinFunction>) Here, first call join to merge with another stream and return joinedstreams. Then you can call the where operation of joinedstreams to build the where object construction condition; Where there is an equalto operation to construct equalto, […]
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Time：2021-9-25
Essence of Technology Eric Evans：When systems based on different models are combined, the need for the new system to adapt to the semantics of the other system can lead to a corruption of the new system’s own. The underlying concept is pretty clear. When we need to “talk” with other system, data repository or legacy […]
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Time：2021-8-31
In the microservice architecture, there may be dozens or even hundreds of microservices. In a function provided externally, these services may need to be called simultaneously or sequentially. Therefore, it is very necessary to ensure the stability of communication between microservices. difficulty elastic Network communication may fail A service instance may cause exceptions for various […]
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Time：2021-8-28
【abstract】This paper briefly introduces the development status of NAS and its application in semantic segmentation, and interprets two popular works: darts and auto deeplab in detail. Automatic web search Most neural network structures are based on some mature backbones, such as RESNET and mobilenet, which are slightly improved to complete different tasks. Because of this, […]
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Time：2021-8-23
Pattern matching is often used in rust. Match expression is the most commonly used expression for pattern matching The match expression is roughly divided into three parts: match keyword, head expression and match block. This article mainly discusses how to write head expression Head expression As we know, there are only two expressions in rust:Position […]
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Time：2021-8-18
summary We often need the function of callback function, which is not executed at the time of creation, but delayed when needed. In addition, we often need to obtain some information in the environment in the function without passing it in as a function parameter. This kind of application scenario needs the tool of closure […]
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Time：2021-8-11
This chapter first introduces some of the most basic test sites of HTML. Many senior interviewers like to investigate knowledge from shallow to deep. For the answers to some basic questions, many students leave a bad impression on the interviewer because of their poor language organization. In this chapter, we will take you to sort […]
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Time：2021-8-10
order This paper mainly studies the JDBC appendtablesink of flick example JDBCAppendTableSink sink = JDBCAppendTableSink.builder() .setDrivername(“org.apache.derby.jdbc.EmbeddedDriver”) .setDBUrl(“jdbc:derby:memory:ebookshop”) .setQuery(“INSERT INTO books (id) VALUES (?)”) .setParameterTypes(INT_TYPE_INFO) .build(); tableEnv.registerTableSink( “jdbcOutputTable”, // specify table schema new String[]{“id”}, new TypeInformation[]{Types.INT}, sink); Table table = … table.insertInto(“jdbcOutputTable”); Here, use tableenv.registertablesink to register JDBC appendtablesink, and then use table.insertinto to write data […]
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Time：2021-8-6
At the 2021 deep learning developer summit wave summit, which ended on May 20, baidu Wenxin Ernie opened four pre training models. This paper makes a detailed technical interpretation of the four open source pre training models.Since 2019, NLP pre training model has made continuous breakthroughs in technological innovation and industrial application, but there are […]
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Time：2021-7-31
From: the heart of the machine [introduction]: following Facebook’s open source of pytorch3d based 3D computer vision library in early 2020, Google also recently opened a highly modular and efficient processing library tensorflow 3D based on TF framework. At present, the library is open source. 3D computer vision is a very important research topic. Choosing […]
