Last Updated on July 24, 2023 by Editorial Team
Author(s): Louis Bouchard
Originally published on Towards AI.
Photo by Cris Ovalle on Unsplash
ECCV 2020 Best Paper Award Goes to Princeton Team.They developed a new end-to-end trainable model for optical flow.Their method beats state-of-the-art architectures’ accuracy across multiple datasets and is way more efficient.
They even made the code available for everyone on their Github!Let’s see how they achieved that.
The ECCV2020 conference happened last week.A ton of new research papers in the field of computer vision was out just for this conference.Here, I will be covering the “Best Paper Award” that they gave to Princeton Team.
In short, they developed a new end-to-end trainable model for optical flow called “RAFT:… Read the full blog for free on Medium.
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