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Starred repositories
🔥3D-MOT(点云多目标检测和追踪C++) （2020 · 秋） 代码有详细注解
A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.
Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN
PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Fusion of LiDAR and depth camera data with deep learning for object detection and classification
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection
[CVPR2023] Blur Interpolation Transformer for Real-World Motion from Blur
[NeurIPS 2021] Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects
Pyramid Stereo Matching Network (CVPR2018)
Generate blur image with 3 types of blur `motion`, `lens`, and `gaussian` by using OpenCV.
Scripts for downloading popular depth estimation datasets, including KITTI, DIODE, SUNRGBD, and soon NYUv2 and Make3D. This tool helps automate the download and organization of RGB images and corre…
(IJCNN 2024 Oral) This is the joint training model for traffic sign detection and image denoising proposed in our paper titled "CCSPNet-Joint: Efficient Joint Training Method for Traffic Sign Detec…
Code for "Video Motion Blur Attack via Grad-Weighted and Discrete-Fusion based Perturbation Generation"
【运输＆人行横道】交通场景交通工具和交通标志检测系统源码＆数据集全套：改进yolo11-RVB-EMA
darknet交通标志检测&TT100K数据集
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
This is a tool that can detect the most common cyber attacks on Convolutional Neural Networks (CNNs) which are FGSM (Fast Gradient Sign Method), PGD (Projected Gradient Descent), C&W (Carlini & Wag…
Performing C&W attack on Recurrent Neural Network