Code and data (Incidents Dataset) for ECCV 2020 Paper "Detecting natural disasters, damage, and incidents in the wild".
MIT License
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Chesapeake RSC dataset introduced in "Seeing the roads through the trees: A benchmark for modelin...
Toolkit for xView2 Challenge: Assessing Building Damage caused by Natural Disasters
Starter kit for the CVPR 2020 RANSAC tutorial benchmark
Official implementation and data release of the paper "Visual Prompting via Image Inpainting".
An approach for detecting tsunamis using anomaly detection anomalies on sTec d/dt data from orbit...
MoveFormer: a Transformer-based model for step-selection animal movement modelling
Code for xView2 challenge (https://xview2.org/) submission. 2nd place submission in Track 3: "Eva...
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
Nerfbusters project