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monocular-depth-estimation

msf-adv-multicam

All the code for our research on multi-camera defense for the novel MSF-ADV attack on AV perception

mv3d

Tensorflow implementation of Multi-View 3D Object Detection Network (in progress)

narcissus

The official implementation of Narcissus clean-label backdoor attack -- only takes THREE images to poison a face recognition dataset in a clean-label way and achieves a 99.89% attack success rate.

obfuscated-gradients

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

once_benchmark

One Million Scenes for Autonomous Driving

open3d-semantic-kitti-vis

Open3D based Semantic KITTI LiDAR dataset visualization tool

openpcddet-annotated

OpenPCDdet模型代码解析

patch_attack_yolov3

pcba

A Backdoor Attack against 3D Point Cloud Classifiers (ICCV2021)

pdv

Point Density-Aware Voxels for LiDAR 3D Object Detection (CVPR 2022)

pillar-od

pmf

Perception-aware multi-sensor fusion for 3D LiDAR semantic segmentation (ICCV 2021)

point-cloud-lectern-memos

3d point cloud lectern点云乐课堂

pointaugmenting

[CVPR2021] PointAugmenting: Cross-Modal Augmentation for 3D Object Detection

pointclouddynamicvoxel

pointpainter

PointPainted 3D detectors

pointpainting

This repository is an open-source PointPainting package which is easy to understand, deploy and run!

py_yolo3d_apollo

Python implementation of yolo3d in Apollo

pyramid-rcnn

Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection

pythonapi

Python API for Simulator

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-pix2pix

Pytorch implementation of pix2pix for various datasets.

pytorch_d-rise

A PyTorch implementation of D-RISE

rap_benchmark

robust-physical-attack

Physical adversarial attack for fooling the Faster R-CNN object detector

robustness_pc_detector

We propose the first robustness benchmark of point cloud detectors against common corruption patterns. We first introduce different corruption patterns collected for this benchmark and dataset. Then we propose the evaluation metrics used in our benchmark. Finally, we introduce the subject object detection methods and robustness enhancment methods s

sasa

SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object Detection

scenariogenerator

ScenarioGenerator - Search-based Software Testing of Baidu Apollo in SVL