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Found 5 papers, 3 papers with code
Rosetta: Large scale system for text detection and recognition in images
In this paper we present a deployed, scalable optical character recognition (OCR) system, which we call Rosetta, designed to process images uploaded daily at Facebook scale.
Optical Character Recognition
Optical Character Recognition (OCR)
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MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions
This is largely an artifact of building on top of frameworks designed for RL in games (e. g. OpenAI Gym).
TorchBeast: A PyTorch Platform for Distributed RL
TorchBeast is a platform for reinforcement learning (RL) research in PyTorch.
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications
The application of deep learning techniques resulted in remarkable improvement of machine learning models.
Improving Rotated Text Detection with Rotation Region Proposal Networks
In this work, we extend the scene-text extraction system at Facebook, Rosetta, to efficiently handle text in various orientations.
