ECCV 2020 Best Paper Award | RAFT: A New Deep Network Architecture For Optical Flow

ECCV 2020 Best Paper Award | RAFT: A New Deep Network Architecture For Optical Flow | WITH CODE

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What's AI by Louis-François Bouchard

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Read the article: / eccv-2020-best-paper-a...
This week my interest was directed towards the ECCV2020 that happened last week. Ask any questions or remarks you have in the comments, I will gladly answer to everything!
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Basic OpenCV Optical Flow tutorial (not RAFT): opencv-python-tutroals.readth...
The paper: arxiv.org/pdf/2003.12039.pdf
GitHub with code: github.com/princeton-vl/RAFT
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0:48 Paper explanation
4:18 Examples
4:48 Conclusion
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#ComputerVision #ECCV #ECCV2020

Пікірлер: 24

@nima2047 3 жыл бұрын

The best channel for AI news. I hope that you can expand the channel even more!

@WhatsAI 3 жыл бұрын

Thank you so much! This is really appreciated and motivating. I will definitely keep improving and do my best! 💪

@gopietz 3 жыл бұрын

I'm sad that "They even made the code available" is actually something that is worth mentioning these days.

@WhatsAI 3 жыл бұрын

I find this sad as well! It should be always available! But unfortunately the best papers are frequently from Facebook, Nvidia, OpenAI which are all not sharing their code :(

@zaneberry 3 жыл бұрын

I saw this featured by Corridor Digital, and wanted to create a whole video project that exists in the rainbow view of the this technology. Now im finding that this may be outside of my abilities if it involves coding and python. I am primarily an adobe premiere, after effects and photoshop user. Is there no consumer friendly tutorial out there for this technology?

@varaprasad6113 3 жыл бұрын

So ..now I'm confident enough that some basic coding is enough to get through complex issues.

@WhatsAI 3 жыл бұрын

Indeed! Sometimes the hardest problems are solved using the most simple methods! And this applied to all fields! Even though it surely needs more complex solutions some times!

@ruanjiayang 3 жыл бұрын

I wonder how the ground truth for optical flow is obtained? If it is from conventional optical flow model, then how can we say the new model provides more accurate result?

@vodkaru5907 2 жыл бұрын

What's best one around now? FGVC? This RAFT is bit older.

@siftir2683 2 жыл бұрын

I had a doubt. I tried Farneback OpenCV implementation using GPU (Nvidia gtx 1600) and the results were much faster than the deep learning RAFT implementation. I was confused as while Farneback took only 33 seconds on a 10 second video, RAFT took 95 seconds(RAFT took 0.3 seconds for a single frame) ! Do these deep learning approaches work better in terms of quality only? Why should we use these deep learning approaches?

@fatimazahra-hp7bg Жыл бұрын

hi did you find the answer to your question ?

@emmanuelwafo7366 Жыл бұрын

it's possible to have the code or the github

@user-dn7vd7ys8v 2 жыл бұрын

Can i run Raft on Windows?

@aguy3203 2 жыл бұрын

What does it mean to train on optical flow vs pixels?

@WhatsAI 2 жыл бұрын

It is simply a different way to look at an image or video! Instead of seeing all pixels as rgb colours, you would only have the activates pixels with their motion information! So it reduces the complexity and calculations to do since most pixels of the images would be 0 (non moving parts) compared to rgb pixels where all pixels will have information regarding the colour of the pixel! Hope that is more clear :)