facebookresearch / dinov2Links
PyTorch code and models for the DINOv2 self-supervised learning method.
☆10,845Updated last week
Alternatives and similar repositories for dinov2
Users that are interested in dinov2 are comparing it to the libraries listed below
Sorting:
- [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"☆8,244Updated 10 months ago
- [NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"☆4,620Updated 10 months ago
- Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and …☆16,456Updated 9 months ago
- Segment Anything in High Quality [NeurIPS 2023]☆3,990Updated 6 months ago
- LAVIS - A One-stop Library for Language-Vision Intelligence☆10,636Updated 7 months ago
- PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO☆6,909Updated 11 months ago
- The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained mode…☆15,852Updated 5 months ago
- An open source implementation of CLIP.☆11,957Updated last week
- The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoi…☆50,480Updated 9 months ago
- Fast Segment Anything☆7,936Updated 10 months ago
- Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI…☆6,742Updated last year
- Painter & SegGPT Series: Vision Foundation Models from BAAI☆2,572Updated 6 months ago
- [ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"☆2,638Updated 11 months ago
- PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation☆5,321Updated 10 months ago
- ImageBind One Embedding Space to Bind Them All☆8,688Updated 10 months ago
- Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).☆2,246Updated 2 years ago
- CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image☆29,407Updated 10 months ago
- [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation☆7,587Updated 11 months ago
- EVA Series: Visual Representation Fantasies from BAAI☆2,506Updated 10 months ago
- Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"☆2,830Updated 10 months ago
- 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…☆8,839Updated this week
- Efficient vision foundation models for high-resolution generation and perception.☆2,928Updated last month
- Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.☆2,942Updated last month
- Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.☆4,065Updated 10 months ago
- An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary alg…☆2,971Updated last year
- Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"☆12,090Updated 6 months ago
- Open-source and strong foundation image recognition models.☆3,284Updated 4 months ago
- Grounded Language-Image Pre-training☆2,425Updated last year
- Code release for ConvNeXt model☆6,027Updated 2 years ago
- Scenic: A Jax Library for Computer Vision Research and Beyond☆3,566Updated last week