Baidu continually updates their process database to provide you with a full range of PC accelerations through the SpeedUp and FasterNow functions. It also utilizes the engine from Baidu Anti-Virus to scan your system for any threats.Key features include:
Overall, Baidu PC Faster has a clean, modern user interface with changeable skins. It is a good tool that can scan and clean up your system to provide noticeable improvements in speed and response times. It has a powerful antivirus scanning tool, and it comes with a few useful functions too, such as the WiFi Hotspot creator.
Real-Time Detection Transformer (RT-DETR), developed by Baidu, is a cutting-edge end-to-end object detector that provides real-time performance while maintaining high accuracy. It is based on the idea of DETR (the NMS-free framework), meanwhile introducing conv-based backbone and an efficient hybrid encoder to gain real-time speed. RT-DETR efficiently processes multiscale features by decoupling intra-scale interaction and cross-scale fusion. The model is highly adaptable, supporting flexible adjustment of inference speed using different decoder layers without retraining. RT-DETR excels on accelerated backends like CUDA with TensorRT, outperforming many other real-time object detectors.
Overview of Baidu's RT-DETR. The RT-DETR model architecture diagram shows the last three stages of the backbone S3, S4, S5 as the input to the encoder. The efficient hybrid encoder transforms multiscale features into a sequence of image features through intrascale feature interaction (AIFI) and cross-scale feature-fusion module (CCFM). The IoU-aware query selection is employed to select a fixed number of image features to serve as initial object queries for the decoder. Finally, the decoder with auxiliary prediction heads iteratively optimizes object queries to generate boxes and confidence scores (source).
We would like to acknowledge Baidu and the PaddlePaddle team for creating and maintaining this valuable resource for the computer vision community. Their contribution to the field with the development of the Vision Transformers-based real-time object detector, RT-DETR, is greatly appreciated.
Baidu's RT-DETR (Real-Time Detection Transformer) is an advanced real-time object detector built upon the Vision Transformer architecture. It efficiently processes multiscale features by decoupling intra-scale interaction and cross-scale fusion through its efficient hybrid encoder. By employing IoU-aware query selection, the model focuses on the most relevant objects, enhancing detection accuracy. Its adaptable inference speed, achieved by adjusting decoder layers without retraining, makes RT-DETR suitable for various real-time object detection scenarios. Learn more about RT-DETR features here.
You can leverage Ultralytics Python API to use pre-trained PaddlePaddle RT-DETR models. For instance, to load an RT-DETR-l model pre-trained on COCO val2017 and achieve high FPS on T4 GPU, you can utilize the following example:
Baidu's RT-DETR stands out due to its efficient hybrid encoder and IoU-aware query selection, which drastically reduce computational costs while maintaining high accuracy. Its unique ability to adjust inference speed by using different decoder layers without retraining adds significant flexibility. This makes it particularly advantageous for applications requiring real-time performance on accelerated backends like CUDA with TensorRT, outclassing many other real-time object detectors.
Baidu's RT-DETR allows flexible adjustments of inference speed by using different decoder layers without requiring retraining. This adaptability is crucial for scaling performance across various real-time object detection tasks. Whether you need faster processing for lower precision needs or slower, more accurate detections, RT-DETR can be tailored to meet your specific requirements.
Yes, RT-DETR models are compatible with various Ultralytics modes including training, validation, prediction, and export. You can refer to the respective documentation for detailed instructions on how to utilize these modes: Train, Val, Predict, and Export. This ensures a comprehensive workflow for developing and deploying your object detection solutions.
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China is the world's second largest economy, a huge new and growing consumer market, and home to many of the world's fastest growing companies. Alibaba to Baidu, BYD and Bytedance, China Mobile to Didi Chuxing, Haier to Huawei, SAIC to Tencent, Dalian Wanda and Xiaomi. China has shifted from imitator to innovator, fundamentally driving new technologies, new applications, and the new agenda for business.
And whilst China is growing at around 5-6%, many other Asian countries will grow even faster through the next decade: India, Bangladesh, Vietnam, Malaysia and the Philippines. Collectively these are known at the 7% club. Indeed we could add another list of great non-Chinese Asian companies like DBS and Grab in Singapore, Samsung and Toss in South Korea, Uniqlo and Softbank in Japan, Reliance and Tata in India.
And as we move rapidly towards the 2020s, the amount of change and uncertainty in markets is likely to increase further, challenging the more structured and analytical approaches of the west. Built into Asian culture and religion is a resilience to cope with change, but also an optimism to thrive on change, which is likely to serve them well.
Yet this is not just about abandoning your local markets and heading East. What is even more relevant to most companies, particularly in Western markets, is that Asian business do thing differently - they innovate, compete and grow in different ways.
25 years ago I met my wife who is half Chinese. Getting to know her family opened my eyes to a very different attitude to life and work. Whilst the following might seem nice words, I can see how they really do instil a very different approach to work, life and success. From the smallest business, to the huge new corporations, they offer us new ideas and inspiration.
You may agree or disagree. What else would you add? You may find that the state interventionist approach is not fair, destabilises competition, and that many of these companies would have failed in their infancy but for such support. You may argue that the Asian "heads down" work ethic could easily be supplanted by machines in an emerging world of AI and robotics, and that Europe is better focused on more human, creative and added-value skills and work. As you walk around Shanghai, you may feel uncomfortable that the Chinese police evaluate you with their data-powered AR-enabled dark glasses, or how social credits drive compliant behaviour, and aspects of freedom and human rights are ignored. Yet Asian companies are fascinating, creative and not going away.
This year's Thinkers50 European Business Forum, bringing together the world's top business thinkers with Europe's business leaders, focuses on this topic. How can European businesses learn from the approaches of Asian companies. How can we take the best new ideas and apply them to our own companies here in Europe? For two inspiring days in Odense, Denmark - itself a hub of 21st century robotics - we bring together many different perspectives on this challenge.
In the European Business Lecture 2019, Alex Osterwalder gives his view on how Europe's companies can be invincible. Also Erin Meyer on how they can work better together, top strategist Scott Anthony on innovating in dual transformation, Kjell Nordstrom gets funky again, Irene Yuan Son takes us to Africa, Navi Radjou contrasts India and America, Erica Dhawan gets you more connected, Haiyan Wang learns from China, and Howard Yu helps us leap forwards in new ways.
Peter Fisk is a global thought leader on driving growth in a changing world - focused on the best new ideas and practices for leadership and strategy, innovation and brands. His 7 bestselling books are translated into 35 languages, including the most recent "Gamechangers: Innovative strategies from brands and business".
He is an expert advisor to business leaders in companies as diverse as Cartier and Coca Cola, GSK and Pfizer, Microsoft and Samsung, Virgin and many more. He is founder of GeniusWorks based in London, director of Thinkers50 Global, and Professor of Strategy, Innovation and Marketing at IE Business School in Madrid where he leads their flagship Global Advanced Management Program (Global AMP).
He is also a keynote speaker. In the coming months he will be speaking in Asia, Europe and South America. He also founded and hosts the annual Thinkers50 European Business Forum, the leading event for CEOs in Europe. His website is packed with articles, cases, tools, videos and more at www.theGeniusWorks.com or email pete...@peterfisk.com
The results were clear no matter the language. For English, speech recognition was three times faster than typing, and the error rate was 20.4 percent lower. In Mandarin Chinese, speech was 2.8 times faster, with an error rate 63.4 percent lower than typing.
The holding company of the group is incorporated in the Cayman Islands.[2] Baidu was incorporated in January 2000 by Robin Li and Eric Xu. Baidu has origins in RankDex, an earlier search engine developed by Robin Li in 1996, before he founded Baidu in 2000.[4]
Baidu Global Business Unit (GBU) is responsible for Baidu's international products and services for markets outside of China. Baidu GBU's product portfolio includes keyboard apps Simeji and Facemoji Keyboard, content recommendation platform popIn, augmented reality network OmniAR, Japanese smart projector popIn Aladdin, and ad platform MediaGo, which is focused on Chinese advertisers looking to reach overseas users. In 2017, Baidu GBU entered into a partnership with Snap Inc. to act as the company's official ad reseller for Snapchat in Greater China, South Korea, Japan and Singapore.[5] The partnership was extended in 2019.[6]
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