Dmytro Mishkin 🇺🇦 @ducha_aiki
Marrying classical CV and Deep Learning. I do things, which work, rather than being novel, but not working. dmytro.ai Ukraine Joined July 2017-
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By default all augmentation operations on segmentation maps result in aliasing, because segmentation masks/labels use nearest neighbor interpolation. Any cure against it?
It's *Vi*sion *T*transformer, so like Fit with V. V.I.T. just does not roll off the tongue nice enough. When I voted/posted, it was at a shocking 20/80! Good job almost turning it alone. So, ... what election are we going to meddle with next, team?
It's *Vi*sion *T*transformer, so like Fit with V. V.I.T. just does not roll off the tongue nice enough. When I voted/posted, it was at a shocking 20/80! Good job almost turning it alone. So, ... what election are we going to meddle with next, team? https://t.co/NlfEnGMnHx
Wow, pretty cool answer from ChatGPT about "yay/nay". Of course, I had to double check it afterwards, and it seems to be precise en.wikipedia.org/wiki/Voting_me…
Microsoft open-sourced MS-DOS :) github.com/microsoft/MS-D…
All my followers, who came for the image matching papers content - let me finish ECCV reviews and I will do a batch of papers waiting to be promoted.
The biggest question of review process for me is - how to save 6-toe puppy paper in review? Any practical recommendations from ACs? @CSProfKGD @ftm_guney @dimadamen @chriswolfvision @taiyasaki
Highly recommended. Great summer school, great researchers, great city (great beer if that matters ;) )
Highly recommended. Great summer school, great researchers, great city (great beer if that matters ;) )
The registration deadline for the Vision and Sports School is in 5 days! Learn from @hjegou @dimadamen @davnov134, @VittoFerrariCV @tojenicek, Jiri Matas, Jan-Michael Frahm and Ondra Chum in morning and play sports with them in afternoon! cmp.felk.cvut.cz/summerschool20…
The registration deadline for the Vision and Sports School is in 5 days! Learn from @hjegou @dimadamen @davnov134, @VittoFerrariCV @tojenicek, Jiri Matas, Jan-Michael Frahm and Ondra Chum in morning and play sports with them in afternoon! cmp.felk.cvut.cz/summerschool20… https://t.co/PdmKbFmEV7
With satellite imagery, it’s hard to get labels. Solution? DINOv2! WRI+Meta trained a satellite DINOv2 for tree height estimation. They created an interactive map of tree height of the whole globe (!) at 1-meter res (!): …toring-okw37.projects.earthengine.app/view/canopyhei… Quizz: Can you recognize this city?
ECCV reviewing pro-tip. If you are R2, that is reject, if you are R1, accept.
A quick update that we have released the model weight and testing code for VGGSfM on IMC: github.com/facebookresear… Feel free to have a try, and we will provide a hugging face demo soon.
📢A new learning-based approach to SfM: #ACEZero No img-to-img matching, optimises image-to-scene correspondences directly. Needs no pose priors. Works on unordered image sets. Efficiently handles thousands of images. Paper: arxiv.org/abs/2404.14351 Page: nianticlabs.github.io/acezero
What is the impact of a mere 0.1% overlap between train and test objects in a 1.5M image training set? Image retrieval performance was boosted by at least 4% in mAP. From "On Train-Test Class Overlap and Detection for Image Retrieval", CVPR'24.
Meta's Segment Anything Model (SAM) can now run in your browser w/ WebGPU (+ fp16), meaning up to 8x faster image encoding (10s → 1.25s)! 🤯⚡️ Video is not sped up! Everything runs 100% locally thanks to 🤗 Transformers.js and onnxruntime-web! 🔗 Demo: hf.co/spaces/Xenova/…
A Rerun Viewer for the DROID Dataset! DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset is a robot manipulation dataset by @SashaKhazatsky et al. with 76k demonstration trajectories or 350h of interaction data, collected across 564 scenes and 86 tasks.
Kosta Derpanis @CSProfKGD
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59K Followers 2K Following Research Fellow at National Institute for Strategic Studies under UA President/senior analyst at Come back alive; all ideas tabled here are my private position.@Parskatt ah I get it now. Yes in tracking people currently do not update the feature maps during the iterations. Instead, they update the feature of tracks for each iteration, an example is below github.com/facebookresear…
@jianyuan_wang Regarding 1. I mean that if you have a Transformer directly on the images and exchange messages you update the feature maps of the images themselves. From what I understand from point tracking the underlying feature-map is fixed during the iterations (perhaps my misunderstanding)
@giffmana @ducha_aiki @CSProfKGD @ftm_guney @dimadamen @chriswolfvision Yah I agree with Lucas. My rule of thumb: 1) is the paper interesting and should be seen (≠novel) 2) is the paper scientifically correct As far as those two are true, minor issues can be ignored, as in any case an irrelevant paper will get auto-discarded by ~0 citations.
@CSProfKGD @ducha_aiki @ftm_guney @dimadamen @chriswolfvision Yes, that's exactly what I said @CSProfKGD 😅 And it's painful, time consuming, and risky. And so, sometime, you let the roach through.
@ducha_aiki Or you can reformulate it as an alpha matting problem
@ducha_aiki I faintly remember a paper that did super resolution of segmentation maps conditioned on the image, to generate edges consistent with the image Transforming & downsampling those can maybe help with aliasing
@ducha_aiki @Parskatt I guess yes 🎯 only read the papers but have not run the code
@francoisfleuret I don't think quicksort is important to know, or even enlightening at all. I'd much rather one of: numerical stability, condition number, rel vs abs error to be on the list.
@jianyuan_wang As in VGGSfM? I think its quite similar, yes. Why is it more elegant?
@Parskatt They look like a more elegant version of multi-view feature matching for me, and much more memory-efficient.
@Parskatt Did you check the recent progress in point tracking?
@jianyuan_wang And this is due to only letting the Transformer see the correlation, correct?
@Parskatt 2. A pretrained tracking network can accept any query points as input with a similar performance, no matter the query points come from SIFT, SP, DISK, or others. It means you can use an arbitrary combination of them.
What the fuck guys!? According to the current results, y'all got it wrong! Correct this now, choose wisely! Andrei please ping me on the final result reveal.
It's *Vi*sion *T*transformer, so like Fit with V. V.I.T. just does not roll off the tongue nice enough. When I voted/posted, it was at a shocking 20/80! Good job almost turning it alone. So, ... what election are we going to meddle with next, team?
Apple has submitted eight new AI models to the Hugging Face hub, an online platform for open-source AI. While similar to other models like OpenAI's GPT-4, the difference is in the size of these models. Apple is clearly building models designed to function on our devices.
@taiyasaki @ducha_aiki @ftm_guney @dimadamen @chriswolfvision Program chairs in computer vision conferences would not let it get to this point. They would ask the PC to first justify overriding the reviewers' recommendation.
@ducha_aiki @CSProfKGD @ftm_guney @dimadamen @chriswolfvision Saving a paper just involves convincing your triplet, and spending more time on it (i.e. you as additional reviewer). I have bigger challenges with the opposite, the mediocre and uninspiring paper that I want to kill, but with 3x WA, which would cause authors to complain to PC
@Abdo_Eldesokey Ah, and its the future of 3D reconstruction.
@Abdo_Eldesokey Image matching clusters of images jointly (more than 2). I think this is super scalable and solves almost all issues that comes from pairwise matching.