PyTorch code and models for the DINOv2 self-supervised learning method in Windows
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Updated
Sep 10, 2024 - Jupyter Notebook
PyTorch code and models for the DINOv2 self-supervised learning method in Windows
Image Classification with DINOv2
Framework for learning multi-domain image embeddings suitable for multi-domain image retrieval at instance-level
DepthArt: From Snapshot to Landscape
Implementation of Fréchet Distance with DINOv2 backbone in Pytorch.
Self Driving Cars!? Not yet
An open-source implementaion for fine-tuning DINOv2 by Meta.
Retrieve Steam games with similar store banners, with Facebook's DINOv2.
Code for my Master's Thesis "Deep Neural Encoding Models of the Human Visual Cortex to Predict fMRI Responses to Natural Visual Scenes" and my submission for the "Algonauts Project 2023 Challenge".
Re-identify animals from cam trap images
Clustering images of skin diseases using DINOv2 embeddings and dimensionality reduction techniques.
This is a warehouse for DinoV2-models, based pytorch framework.
This repository contains the code implementation used in the paper: "Human-in-the-Loop Segmentation of Multi-species Coral Imagery".
The official source code of paper in ECCV 2024. "Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models"
Explore the cutting edge of computer vision with this comprehensive repository, showcasing a spectrum from classical machine learning to state-of-the-art transformer models.
The inference of DINOv2 ONNX models using the ONNXRuntime library.
DINOv2 module for use with Autodistill.
Official implementation of the paper 'Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery'
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2
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