AI with Papers - Artificial Intelligence & Deep Learning
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All the AI with papers. Every day fresh updates on Deep Learning, Machine Learning, and Computer Vision (with Papers).

Curated by Alessandro Ferrari | https://www.linkedin.com/in/visionarynet/
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🐇 SplineCam: Neural Decision Boundary 🐇

👉#META -> SplineCam: a step towards neural visualization / interpretability

😎Review https://bit.ly/3mgoOaH
😎Paper arxiv.org/pdf/2302.12828.pdf
😎Project imtiazhumayun.github.io/splinecam
😎Code github.com/AhmedImtiazPrio/SplineCAM
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🔥 "Segmenting Anything". CRAZY! 🔥

👉#Meta unveils a novel model and (1B+) dataset for neural segmentation 🤯

😎Review https://bit.ly/3nM2uXx
😎Paper https://bit.ly/43788DC
😎Project https://segment-anything.com
😎Code github.com/facebookresearch/segment-anything
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🪬 META's Animated Drawings is out! 🪬

👉#META unveils an easy-to-use method for animating human-like figures drawn by children.

😎Review https://bit.ly/3mGeQQv
😎Paper arxiv.org/pdf/2303.12741.pdf
😎Project fairanimateddrawings.com
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🦕 6D Non-Prehensile Manipulation 🦕

👉#META (+CMU) unveils HACMan, novel 6D non-prehensile manipulation of objects

😎Review https://bit.ly/3NP1jl1
😎Paper arxiv.org/pdf/2305.03942.pdf
😎Project hacman-2023.github.io
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🦙 Llama-2: the Open-Source "ChatGPT" 🦙

👉GenAI, #Meta unveils Llama-2: a collection of LLMs ranging in scale 7-70B params. Challenging with #chatgpt, but open.

😎Review https://t.ly/bLJgP
😎Paper https://t.ly/AOXru
😎Project https://ai.meta.com/llama
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🐘 Controllable Synthetic Data (extending Image-Net) 🐘

👉#META's PUG, a new generation of interactive environments for representation learning. Extending Image-Net!

😎Review https://t.ly/nCYs0
😎Paper arxiv.org/pdf/2308.03977.pdf
😎Project pug.metademolab.com
😎Code github.com/facebookresearch/PUG
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FACET: Fairness in Computer Vision

👉#META AI opens a large, publicly available dataset for classification, detection & segmentation. Potential performance disparities & challenges across sensitive demographic attributes

😎Review https://t.ly/mKn-t
😎Paper arxiv.org/pdf/2309.00035.pdf
😎Dataset https://facet.metademolab.com/
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🔥🔥 #META's DINOv2 is now commercial! 🔥🔥

👉Universal features for image classification, instance retrieval, video understanding, depth & semantic segmentation. Now suitable for commercial.

😎Review https://t.ly/LNrGy
😎Paper arxiv.org/pdf/2304.07193.pdf
😎Code github.com/facebookresearch/dinov2
😎Demo dinov2.metademolab.com/
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✌️ Relighted 3D Hands 🤞

👉#META unveils Re:InterHand: a large dataset of relighted 3D interacting hands

😎Review https://t.ly/I1dQk
😎Paper arxiv.org/pdf/2310.17768.pdf
😎Project mks0601.github.io/ReInterHand
😎Data github.com/mks0601/ReInterHand
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🐓 Emu: image edit / video gen. 🐓

👉#Meta the new SOTA in text-to-video generation and instruction-based image editing

👉 Review https://t.ly/PMTBc
👉 Paper (images): https://lnkd.in/eVadH-QS
👉 Project https://lnkd.in/eG8eWUJY
👉 Paper (video): https://lnkd.in/eVadH-QS
👉 Project https://lnkd.in/eu6Zu6gp
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