computer vision / ML / DL script k1ddie

Italy
Joined August 2017
We're excited to announce that our paper, “Dynamic Label Injection for Imbalanced Industrial Defect Segmentation,” has been accepted to the VISION workshop at #ECCV2024 , hosted by @Apple ! 🎉 Check out our preprint here: arxiv.org/abs/2408.10031 #Apple #industrial #AI
A graphic designer than a scientist 😵‍💫. Check out designs like the girl in the center sporting the famous image by #stylegan3 and the image by #dalle3 on the upper left...can you guess what's wrong? More designs in the pipeline! If you have any papers in mind, drop a DM! [...]
Hello deeple4rners! Excited to share T-Scirt with you all - a collection of t-shirts, mugs, bags, and more inspired by the deep learning world. Dive into famous plots from the #papers we read daily. This idea sparked after completing my PhD; feeling more [...]
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Kojima designing the maps and camera positions for Metal Gear Solid with Lego is one of my fave behind the scenes gamedev moments
This is how big elephant herds used to be (1950s)
Francesco retweeted
Should we acquire Stability and open-source SD3?
w0ah big news! Glad that our paper "MIND: Multi-Task Incremental Network Distillation" has been accepted in the main conference track at #AAAI24 , one of the main main conferences in the world about artificial intelligence. arxiv.org/abs/2312.02916
Francesco retweeted
Absolutely unreal.
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Onboard view from Falcon 9’s flight to space and back during smallsat rideshare mission
Congrats to the runner-up paper award, winning $500 from the MATRIX project. "Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization"
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I was sleeping, but my co-author Saurav Jha updated me ASAP. I'm happy to say that we won the runner-up paper award at CLVISION workshop of #CVPR2022 We are among the first to investigate continual learning in transformers! link to the paper arxiv.org/abs/2203.13167
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Uh oh, it seems that these days are great...I published anoher paper!! In #CVPR2022 T4V workshop. Mmmm and this one is a 𝕊𝕠𝕝𝕠 paper, meaning single authored :D "Simpler is Better: off-the-shelf Continual Learning through Pretrained Backbones" arxiv.org/abs/2205.01586
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Woah another paper out! "Smaller Is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning" Accepted at #IJCNN 2022 :) Here's a preprint :D arxiv.org/abs/2105.14106
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Our paper: "Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization" has been accepted to 2022 CVPR Workshop of Continual Learning! Here's a preprint! arxiv.org/abs/2203.13167
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Francesco retweeted
Replying to @Kojima_Hideo
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