玄学炼丹师's Projects
2sAGCN的paddlepaddle实现
CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection
细粒度图像分类之十二猫分类,对比ResNet和ViT两者模型性能。
Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance).
Config files for my GitHub profile.
从零开始创建二维激光SLAM
【精品】飞桨深度学习云训练平台一键fork:https://aistudio.baidu.com/aistudio/projectdetail/3666929
deep learning for image processing including classification and object-detection etc.
A Keypoint-based Global Association Network for Lane Detection. Accepted by CVPR 2022
【高引】飞桨深度学习云训练平台一键fork:https://aistudio.baidu.com/aistudio/projectdetail/2148971
Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
中文文本检测任务【DBnet】+中文文本识别任务【CRNN】
基于深度学习的3D点云数据处理——开上之作PointNet模型【Pytorch版】
Code for 'RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles' (ICIP 2019)
Fuse radar and camera for detection
2020-2021年计算机视觉综述论文分方向整理
reproduce of Trusted Multi-View Classification with PaddlePaddle
Datasets, Transforms and Models specific to Computer Vision