Jonathan Roberts (jonathan-roberts1)

jonathan-roberts1

Geek Repo

Company:University of Cambridge

Location:Cambridge, UK

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Jonathan Roberts's repositories

charting-new-territories

Accompanying repo for 'Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs' project

GPT4GEO

Accompanying repo for 'GPT4GEO: How a Language Model Sees the World's Geography' project

SciFIBench

Accompanying repo for the 'SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation' project

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RSSCN7

Dataset of the article “Deep Learning Based Feature Selection for Remote Sensing Scene Classification”

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Awesome-LLM

This project collects awesome resources (e.g., papers, open-source models) for large language model (LLM)

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Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

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Awesome-Remote-Sensing-Multimodal-Large-Language-Model

Multimodal Large Language Model for Remote Sensing (Vision-Language)

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awesome-remote-sensing-vision-language-models

Awesome-Remote-Sensing-Vision-Language-Models

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Canadian-cropland-dataset

This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved from Sentinel-2.

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CLIP

Contrastive Language-Image Pretraining

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datasci

Modelling and machine learning: the foundations of data science

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datasets

Datasets for deep learning with satellite & aerial imagery

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datasets-viewer

Viewer for the 🤗 datasets library.

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DenseCLIP

[CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

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awesome-RSVLM

Collection of Remote Sensing Vision-Language Models

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Awesome_Multimodel_LLM

Awesome_Multimodel is a curated GitHub repository that provides a comprehensive collection of resources for Multimodal Large Language Models (MLLM). It covers datasets, tuning techniques, in-context learning, visual reasoning, foundational models, and more. Stay updated with the latest advancement.

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Awesome_Satellite_Benchmark_Datasets

Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.

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DenseCLIP-mmseg

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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earthaccess

Python Library for NASA Earthdata APIs

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Few-Shot-Semantic-Segmentation-Papers

Few Shot Semantic Segmentation Papers

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galai

Model API for GALACTICA

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GroupViT

Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.

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lang-seg

Language-Driven Semantic Segmentation

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LoveDA

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

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open_clip

An open source implementation of CLIP.

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PyTorch-Encoding

A CV toolkit for my papers.

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reverie

:art: A ridiculously elegant Jekyll theme.

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