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
Implementation of Fréchet Distance with DINOv2 backbone in Pytorch.
Re-identify animals from cam trap images
Self Driving Cars!? Not yet
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".
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.
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2
The official source code of paper in ECCV 2024. "Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models"
[NeurIPS'24] A Simple Image Segmentation Framework via In-Context Examples
Framework for learning multi-domain image embeddings suitable for multi-domain image retrieval at instance-level
Image Classification with DINOv2
The inference of DINOv2 ONNX models using the ONNXRuntime library.
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".
An open-source implementaion for fine-tuning DINOv2 by Meta.
Clustering images of skin diseases using DINOv2 embeddings and dimensionality reduction techniques.
Retrieve Steam games with similar store banners, with Facebook's DINOv2.
DepthArt: From Snapshot to Landscape
Official implementation of the paper 'Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery'
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