This is the official code for the paper "Ad2Attack: Adaptive Adversarial Attack for Real-Time UAV Tracking".

Overview

Ad^2Attack:Adaptive Adversarial Attack on Real-Time UAV Tracking

Demo video

  • 📹 Our video on bilibili demonstrates the test results of Ad^2Attack on several sequences.

Ad^2Attack

Environment setup

This code has been tested on Ubuntu 18.04, Python 3.8.3, Pytorch 0.7.0/1.6.0, CUDA 10.2. Please install related libraries before running this code:

pip install -r requirements.txt

Attack on Trackers

[SiamAPN]

The pre-trained model of SiamAPN can be found at (epoch=37) : general_model(code:w3u5) and the pre-trained model of Ad^2Attack can be found at /checkpoints/AdATTACK/model.pth

Ad^2Attack on other trackers, e.g., SiamCAR, SiamGAT, HiFT, SiamAPN++ will be released soon.

Datasets Setting

We evaluate our attack method on 3 well-known UAV tracking benchmark, i.e., UAV123, UAV112 and UAVDT You can download them and put them in /pysot/test_dataset remember change the path in Setting.py

Test Attack

vim ~/.bashrc
export PYTHONPATH=/home/user/Ad^2Attack:$PYTHONPATH
export PYTHONPATH=/home/user/Ad^2Attack/pysot:$PYTHONPATH
export PYTHONPATH=/home/user/Ad^2Attack/pix2pix:$PYTHONPATH
source ~/.bashrc
python pysot/tools/test.py 	        \
	--trackername SiamAPN           \ # tracker_name
	--dataset V4RFlight112          \ # dataset_name
	--snapshot snapshot/general_model.pth   # model_path

The testing result will be saved in the results/dataset_name/tracker_name directory.

Evaluation

If you want to evaluate the Ad^2Attack on trackers, please put those results into results directory.

python pysot/tools/eval.py 	                          \
	--tracker_path ./results          \ # result path
	--dataset V4RFlight112            \ # dataset_name
	--tracker_prefix 'general_model'  \ # tracker_name

Contact

If you have any questions, please contact me.

Sihang Li

Email: [email protected]

Acknowledgement

The code is implemented based on pysot, SiamAPN and CSA. We would like to express our sincere thanks to the contributors.

Owner
Intelligent Vision for Robotics in Complex Environment
Adaptive Vision for Robotics in Complex Environment
Intelligent Vision for Robotics in Complex Environment
Paddle implementation for "Highly Efficient Knowledge Graph Embedding Learning with Closed-Form Orthogonal Procrustes Analysis" (NAACL 2021)

ProcrustEs-KGE Paddle implementation for Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis 🙈 A more detailed re

Lincedo Lab 4 Jun 09, 2021
YOLOv5🚀 reproduction by Guo Quanhao using PaddlePaddle

YOLOv5-Paddle YOLOv5 🚀 reproduction by Guo Quanhao using PaddlePaddle 支持AutoBatch 支持AutoAnchor 支持GPU Memory 快速开始 使用AIStudio高性能环境快速构建YOLOv5训练(PaddlePa

QuanHao Guo 20 Nov 14, 2022
A general python framework for visual object tracking and video object segmentation, based on PyTorch

PyTracking A general python framework for visual object tracking and video object segmentation, based on PyTorch. 📣 Two tracking/VOS papers accepted

2.6k Jan 04, 2023
Official implementation of the paper "Steganographer Detection via a Similarity Accumulation Graph Convolutional Network"

SAGCN - Official PyTorch Implementation | Paper | Project Page This is the official implementation of the paper "Steganographer detection via a simila

ZHANG Zhi 1 Nov 26, 2021
Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search

CLIP-GLaSS Repository for the paper Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search An in-browser demo is

Federico Galatolo 172 Dec 22, 2022
Measuring and Improving Consistency in Pretrained Language Models

ParaRel 🤘 This repository contains the code and data for the paper: Measuring and Improving Consistency in Pretrained Language Models as well as the

Yanai Elazar 26 Dec 02, 2022
The codebase for Data-driven general-purpose voice activity detection.

Data driven GPVAD Repository for the work in TASLP 2021 Voice activity detection in the wild: A data-driven approach using teacher-student training. S

Heinrich Dinkel 75 Nov 27, 2022
Implement A3C for Mujoco gym envs

pytorch-a3c-mujoco Disclaimer: my implementation right now is unstable (you ca refer to the learning curve below), I'm not sure if it's my problems. A

Andrew 70 Dec 12, 2022
This repository allows the user to automatically scale a 3D model/mesh/point cloud on Agisoft Metashape

Metashape-Utils This repository allows the user to automatically scale a 3D model/mesh/point cloud on Agisoft Metashape, given a set of 2D coordinates

INSCRIBE 4 Nov 07, 2022
Code for the paper titled "Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks" (NeurIPS 2021 Spotlight).

Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks This repository contains the code and pre-trained

Hassan Dbouk 7 Dec 05, 2022
In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits

Fastapi + MLflow + streamlit Setup env. I hope I covered all. pip install -r requirements.txt Start app Go in the root dir and run these Streamlit str

76 Nov 23, 2022
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

ESRGAN (Enhanced SRGAN) [ 🚀 BasicSR] [Real-ESRGAN] ✨ New Updates. We have extended ESRGAN to Real-ESRGAN, which is a more practical algorithm for rea

Xintao 4.7k Jan 02, 2023
PyTorch implementation for 3D human pose estimation

Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach This repository is the PyTorch implementation for the network presented in:

Xingyi Zhou 579 Dec 22, 2022
Large-Scale Unsupervised Object Discovery

Large-Scale Unsupervised Object Discovery Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce [PDF] We propose a novel ranking-based

17 Sep 19, 2022
Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)

Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021) authors: Boris Knyazev, Michal Drozdzal, Graham Taylor, Adriana Romero-Soriano Overv

Facebook Research 462 Jan 03, 2023
Solution to the Weather4cast 2021 challenge

This code was used for the entry by the team "antfugue" for the Weather4cast 2021 Challenge. Below, you can find the instructions for generating predi

Jussi Leinonen 13 Jan 03, 2023
Pytorch Implementation of the paper "Cross-domain Correspondence Learning for Exemplar-based Image Translation"

CoCosNet Pytorch Implementation of the paper "Cross-domain Correspondence Learning for Exemplar-based Image Translation" (CVPR 2020 oral). Update: 202

Lingbo Yang 38 Sep 22, 2021
This repository contains a PyTorch implementation of the paper Learning to Assimilate in Chaotic Dynamical Systems.

Amortized Assimilation This repository contains a PyTorch implementation of the paper Learning to Assimilate in Chaotic Dynamical Systems. Abstract: T

4 Aug 16, 2022
Off-policy continuous control in PyTorch, with RDPG, RTD3 & RSAC

arXiv technical report soon available. we are updating the readme to be as comprehensive as possible Please ask any questions in Issues, thanks. Intro

Zhihan 31 Dec 30, 2022