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Starred repositories
Holds code for our CVPR'23 tutorial: All Things ViTs: Understanding and Interpreting Attention in Vision.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Official Pytorch Implementation of SegViT: Semantic Segmentation with Plain Vision Transformers
Public repository of our research work at IEEE Access
Este repositório apresenta uma adaptação demonstrativa do módulo S2DR3, criado pela equipe Gamma Earth.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
PyTorch code and models for the DINOv2 self-supervised learning method.
A fast structure from motion pipeline written in Pytorch.
This repository contains demos I made with the Transformers library by HuggingFace.
[MICCAI 2024 Oral] The official code of "TinyU-Net: Lighter Yet Better U-Net with Cascaded Multi-receptive Fields"
seasonal-contrast is a ServiceNow Research project that was started at Element AI.
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
This repo contains the submission for the Bootcamp Capstone project
This repo contains the AWS deployment of a Machine Learning model for detecting solar panels from satellite imagery.
Awesome-Remote-Sensing-Vision-Language-Models
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
Towards a Unified Copernicus Foundation Model for Earth Vision
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
Content for EGU25 Spliter Meeting SPM101
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
FlipnSlide: A Python Package for for Preserving Spatial Context when Preprocessing Large Scientific Images
ESA-PhiLab / phileo-bench
Forked from 91097luke/phileo-benchRepo for testing foundation models
Multi-label guided soft contrastive learning for efficient Earth observation pretraining
High-performance C++17 boilerplate to convert colored raster segmentation masks into COCO‑style JSON. Processes large mask datasets with OpenCV4 and RapidJSON, uses multi‑threading for fast contour…