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🐍 Geometric Computer Vision Library for Spatial AI
A list of recent papers about adversarial learning
TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.
This repository belongs to the publication: Adversarial Observations in Weather Forecasting
A unified library for object tracking featuring clean room re-implementations of leading multi-object tracking algorithms
[CVPR2021] IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking
Targeted black-box adversarial attack using Bayesian Optimization
Official PyTorch implementation of "Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization" (ICML'22)
A Python implementation of global optimization with gaussian processes.
The code for the paper titled as "DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature Space".
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Repo for paper DATT: Deep Adaptive Trajectory Tracking for Quadrotor Drones
Code Repositoritory of the paper D-VAT: End-to-End Visual Active Tracking for Micro Aerial Vehicles
A MIT-licensed, deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.
Aerial Gym Simulator - Isaac Gym Simulator for Aerial Robots
A little Python script to collect LaTeX sources for upload to the arXiv.
PyTorch implementation of deep reinforcement learning algorithms
An OpenAI Gym environment for Pokemon battles
[IEEE TGRS 2022] Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark
A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP
AI-powered Human-Drone Pose Estimation Aboard Ultra-low Power Autonomous Flying Nano-UAVs.


