ECCV 2020 Best Paper Award | A New Architecture For Optical Flow

Author(s): Louis Bouchard

Originally published on Towards AI.

Paper’s introduction

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.

https://github.com/princeton-vl/RAFT

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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Published via Towards AI