Artificial Intelligence

The State of Computer Vision at Hugging Face 🤗

Over 3000 models, and over 100 datasets on the Hugging Face Hub.

Более 3000 моделей компьютерного зрения и более 100 датасетов на Hugging Face Hub.

💨

Topics:
Supported vision tasks and Pipelines
Training your own vision models
Integration with timm
Diffusers
Support for third-party libraries
Datasets

⏩

Code:
HugsVision
Model documentation
Hugging Face notebooks
Hugging Face example scripts
Task pages
Timm

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Computer Vision applications:
Generate 3D voxels from a predicted depth map of an input image
Open vocabulary semantic segmentation
Narrate videos by generating captions
Classify videos from YouTube
Zero-shot video classification
Visual question-answering
Use zero-shot image classification to find best captions for an image to generate similar images

🤗 AutoTrain
AutoTrain
Image classification
Automatic model evaluation

🦾 Zero-shot models
CLIP
OWL-ViT
CLIPSeg
GroupViT
X-CLIP

🚀 Deployment
Deploying TensorFlow Vision Models in Hugging Face with TF Serving
Deploying ViT on Kubernetes with TF Serving
Deploying ViT on Vertex AI
Deploying ViT with TFX and Vertex AI

✅️

Full list

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Artificial Intelligence

NP-Match: When Neural Processes meet Semi-Supervised Learning

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Github: https://github.com/jianf-wang/np-match

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Paper: https://arxiv.org/abs/2301.13569v1

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Dataset: https://paperswithcode.com/dataset/stl-10

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What Makes Good Examples for Visual In-Context Learning?

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Github: https://github.com/zhangyuanhan-ai/visual_prompt_retrieval

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Paper: https://arxiv.org/abs/2301.13670v2

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Dataset: https://paperswithcode.com/dataset/coco

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Forwarded from Machinelearning

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🔥 Dreamix: Video Diffusion Models are General Video Editors

New Google's text-based motion model.

Given a small collection of images showing the same subject, Dreamix can generate new videos with the subject in motion.

Всего из нескольких картинок или ролику новая модель от Google - Dreamix генерирует видео по текстовому описанию!

На видео Dreamix превращает обезьяну в танцующего медведя по промпту «Медведь танцует и прыгает под веселую музыку, двигая всем телом».

⭐️

Project: https://dreamix-video-editing.github.io/

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Paper: https://arxiv.org/pdf/2302.01329.pdf

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Video: https://www.youtube.com/watch?v=xcvnHhfDSGM

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STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation (ICRA 2023)

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Github: https://github.com/ucaszyp/steps

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Paper: https://arxiv.org/abs/2302.01334v1

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Dataset: https://paperswithcode.com/dataset/nuscenes

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DirectMHP: Direct 2D Multi-Person Head Pose Estimation

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Github: https://github.com/hnuzhy/directmhp

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Paper: https://arxiv.org/abs/2302.01110v1

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Dataset: https://paperswithcode.com/dataset/agora

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OpenSpike: An OpenRAM SNN Accelerator

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Github: https://github.com/sfmth/openspike

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Paper: https://arxiv.org/abs/2302.01015v1

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Multimodal Chain-of-Thought Reasoning in Language Models

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Github: https://github.com/amazon-science/mm-cot

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Paper: https://arxiv.org/abs/2302.00923v1

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Dataset: https://paperswithcode.com/dataset/scienceqa

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Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning

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Github: https://github.com/NeuralCollapseApplications/FSCIL

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Paper: https://openreview.net/pdf?id=y5W8tpojhtJ

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Dataset: https://paperswithcode.com/dataset/mini-imagenet

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Tab2KG: Semantic Table Interpretation with Lightweight Semantic Profiles

🖥 Github:https://github.com/sgottsch/tab2kg

⏩ Paper: https://arxiv.org/pdf/2302.01150v1.pdf

➡️ Dataset: https://paperswithcode.com/dataset/dbpedia

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Top-Down Beats Bottom-Up in 3D Instance Segmentation

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Github: https://github.com/samsunglabs/td3d

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Paper: https://arxiv.org/abs/2302.02871v1

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Dataset: https://paperswithcode.com/dataset/scannet

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Expert Language Models (ELM)

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Github: https://github.com/joeljang/elm

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Paper: https://arxiv.org/abs/2302.03202v1

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Dataset: https://paperswithcode.com/dataset/big-bench

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