a Deep and Light-weight Transformer named DeLighT that allocates parameters more efficiently among the transformer blocks or layers
Transformer and its numerous variants achieve excellent performance today in various machine learning applications including sequence-to-sequence modeling, language modeling and computer vision tasks.
Read more: https://analyticsindiamag.com/complete-guide-to-delight-deep-and-light-weight-transformer/
In this Computer Vision tutorial, we’ll help you understand some of the Computer Vision, Face Processing with Computer Vision and Machine Learning techniques behind these applications. Then, we’ll use this knowledge to develop our own prototypes to tackle tasks such as face detection (e.g. digital cameras), recognition (e.g. Facebook Photos), classification (e.g. identifying emotions), manipulation (e.g. Snapchat filters), and more.
Computer vision is one of the fastest-growing domains among organisations and academia around the globe. The reasons behind the growth include affordability of processing power, open-source computer vision algorithms and of course, availability of cheaper cameras. Open-Source Computer Vision Library, popularly known as OpenCV, is a machine learning library that is built to deliver a…
While jobs may be few and far between amid the ongoing economic downturn, some companies like Amazon, Siemens, and Intel have leveled up their hiring to fill various positions in emerging technologies. Top of this list is computer vision, which has emerged as one of the most promising technologies today. Triggered by newer applications amid…
Duke University researchers have announced that they have developed an artificial intelligence-based tool that can turn blurry and unrecognisable images of people’s faces into perfect computer-generated portraits in high definition. According to the reports, traditional methods can only scale up a human face image up to eight times than its original resolution; however, the researchers…
Object detection has been witnessing a rapid revolutionary change in the field of computer vision. Its involvement in the combination of object classification as well as object localisation makes it one of the most challenging topics in the domain of computer vision. In simple words, the goal of this detection technique is to determine where…