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Object-Aware Domain Generalization for Object Detection
PyTorch implementation of Mixer-nano (#parameters is 0.67M, originally Mixer-S/16 has 18M) with 90.83 % acc. on CIFAR-10. Training from scratch.
Official ROS drivers for Ouster sensors (OS0, OS1, OS2, OSDome)
[CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving & Foundation Models in Autonomous System
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
An open HD map production process for autonomous car simulation
The implementation on our paper published on ICRA2024.
Ground Truth 3D positions of traffic signs in the KITTI sequences 00 to 10 (except 03)
2D detection on KITTI dataset. see configs/kitti
Python tools for working with KITTI data.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Codes for CVPR2021 paper "PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization"
[ICRA'23] Dataset of Moving Object Detection; Official Implementation of "RGB-Event Fusion for Moving Object Detection in Autonomous Driving"
WoojuLee24 / rpg_event_representation_learning
Forked from uzh-rpg/rpg_event_representation_learningRepo for learning event representations
This the project folder for the paper `Fusing Event-based and RGB camera for Robust Object Detection in Adverse Conditions'
Official repository for the paper: Zhu, Alex Zihao, et al. "EventGAN: Leveraging Large Scale Image Datasets for Event Cameras." arXiv preprint arXiv:1912.01584 (2019).
Improving Semantic Segmentation in Accidents by Fusing Event-based Data
Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
SAMMiCA / OA-DG
Forked from WoojuLee24/OA-DGObject-Aware Domain Generalization for Object Detection
SNAP: Self-supervised Neural Maps for Visual Positioning and Semantic Understanding (NeurIPS 2023)
Source Code for Paper "OrienterNet Visual Localization in 2D Public Maps with Neural Matching"
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.