Adobe Research Proposes HDMatt, A Deep Learning-Based Image Matting Approach

Image matting is an essential technique to estimate the foreground objects in images and videos for editing and composition. The conventional deep...

Introducing EvolGAN: An Evolutionary Method To Generate Higher Quality Images From Small or Difficult...

Generative Adversarial Networks (GANs) are a model architecture that automatically discovers and learn the regularities or patterns in input data. GANs use...

CompressAI: A PyTorch Library For End-To-End Compression Research

A recent research paper published by InterDigital AI Lab introduces CompressAI. CompressAI is a platform that provides custom operations, layers, models, and tools to...

Facebook AI Open-Sources Graph Transformer Networks (GTN) For Automatic Differentiation With Graphs

Graph Transformer Networks (GTN) is an open-source framework with weighted finite-state transducers (WFSTs), a powerful and expressive type of graph. GTN, just...

LALE: A Python Library Simplifying Automated Machine Learning

Whenever any data scientist thinks of developing a pipeline, they try bringing automated machine learning into the picture to make the task...

PyRetri: An Open-Source Deep Learning Based Unsupervised Image Retrieval Library Built on PyTorch

Content-based image retrieval (CBIR) uses a representation of visual content to identify relevant images, and it is one of the fundamental research...

Machine Learning Metadata (MLMD) : A Library To Track Full Lineage Of Machine Learning...

Version control is used to keep track of modifications made in a software code. Similarly, when building machine learning (ML) systems, it...

Introducing ‘Chitrakar’ A New AI System That Converts Images Of A Human Face Into...

Researchers from TCS Robotics Research Lab in India has launched an artificial intelligence (AI) system called 'Chitrakar' that converts an image of...

Google AI Open-Sources mT5: A Multilingual Model Trained With mC4 Corpus (101 Language Dataset)

Google has open-sourced a model called mT5, a multilingual variant of Google’s T5 model. This model is trained on a dataset comprising...

Researchers From Facebook AI And The University Of Texas At Austin Introduce VisualVoice: A...

Despite being present in surroundings with contaminated and overlapping sounds, the human perceptual system moves massively on visual information to lessen the...
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