Content

R0:1bd6c89454b8a29952356211c7075d12-YOLOP: You Only Look Once for Panoptic Driving Perception

YOLOP: You Only Look Once for Panoptic Driving Perception

28 de August de 2021

A panoptic driving perception system is an essential part of autonomous driving. A high-precision and real-time perception system can assist the vehicle in making the reasonable decision while driving. We present a panoptic driving perception network (YOLOP) to perform traffic object detection, drivable area segmentation and lane detection simultaneously. It is composed of one encoder for feature extraction and three decoders to handle the specific tasks. Our model performs extremely well on the challenging BDD100K dataset, achieving state-of-the-art on all three tasks in terms of accuracy and speed. Besides, we verify the effectiveness of our multi-task learning model for joint training via ablative studies.

Pages: 1 2 3
https://editorialia.com/wp-content/uploads/2020/06/dive-into-deep-learning.jpg

Dive into Deep Learning

16 de June de 2020

“We set out to create a resource that could (i) be freely available for everyone; (ii) offer sufficient technical depth to provide a starting point on the path to actually becoming an applied machine learning scientist; (iii) include runnable code, showing readers how to solve problems in practice; (iv) allow for rapid updates, both by us and also by the community at large; and (v) be complemented by a forum for interactive discussion of technical details and to answer questions”.

Pages: 1 2 3
https://editorialia.com/wp-content/uploads/2020/06/microsoft-nlp-best-practices.jpg

Microsoft NLP Best Practices

13 de June de 2020

This repository contains examples and best practices for building NLP systems, provided as Jupyter notebooks and utility functions. The focus of the repository is on state-of-the-art methods and common scenarios that are popular among researchers and practitioners working on problems involving text and language

Pages: 1 2 3
https://editorialia.com/wp-content/uploads/2020/06/the-super-duper-nlp-repo-the-big-bad-nlp-database.jpg

The Super Duper NLP Repo & The Big Bad NLP Database

12 de June de 2020

A database housing more than 100 Colab notebooks running ML code for various NLP tasks. Colab is an excellent destination to experiment with the latest models as it comes with a free GPU/TPU housed in Google’s back-end servers… And a collection of more than 400 NLP datasets that it include papers.

Pages: 1 2 3
https://editorialia.com/wp-content/uploads/2020/05/google_engineering_practices_documentation-1.jpg

Google Engineering Practices Documentation

9 de May de 2020

Google has many generalized engineering practices that cover all languages and all projects. These documents represent their collective experience of various best practices that they have developed over time. It is possible that open source projects or other organizations would benefit from this knowledge.

Pages: 1 2
https://editorialia.com/wp-content/uploads/2020/04/logo_cyber_security.png

Free Cybersecurity Training

17 de April de 2020

Provides instruction in the basic of network security in depth. Includes security objectives, security architecture, security models and security layers; risk management, network security policy, and security training. Includes the give security keys, confidentiality integrity, availability, accountability and auditability. Lecture 3 hours per week.