Improved accuracy is the main goal of most Question Answering (QA) efforts. The goal has been to make the response supplied text as accessible as possible for a very long time. The integrity of the information...
What is Image Annotation?
After human annotation is complete, a machine-learning model automatically examines the tagged pictures to generate the same annotations. Since the picture annotation defines the standards the model attempts to meet, any label mistakes...
Estimating the trajectory of items in a video clip is the goal of multiple object tracking (MOT). While specific MOT standards only consider tracking...
Natural language models can model a text corpus C by learning the probability distribution p over all natural language strings Y∈C, with Y={y_1,y_2,y_3...,y_t}. For...
Tensors are an effective method for handling and representing multidimensional data arrays. However, they have a limitation in terms of storage and computation. Tensor...
This Article Is Based On The Research 'TapType: Ten-finger text entry on everyday surfaces via Bayesian inference'. All Credit For This Research Goes To...
This article summary is based on the research paper: 'gDNA: Towards Generative Detailed Neural Avatars'
All credits for this research goes to the authors of...
Visual tracking involves estimating the trajectory of an object in a video series, which is one of the fundamental challenges in computer vision. With...
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