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Starred repositories
A curated list of resources for using LLMs to develop more competitive grant applications.
Build your own second brain with supermemory. Extremely fast, scalable, memory API for the AI era.
基于深度学习与Neo4j的军事装备知识图谱网页应用构建。本项目是一个军事武器知识图谱网页应用软件原型系统。该系统由数据爬虫、数据管理、数据处理、知识问答、新闻热点、词条查询和图谱展示七个功能模块组成。系统从互联网上爬取数据，并基于百度文心ERNIE 3.0模型对数据进行实体识别和关系抽取，将数据处理为三元组形式并存储到图数据库Neo4j中。通过数据管理和数据标注，并通过对Ne 8000 o4j中的三元组…
EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection(ECCV 2020)
Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
SECOND for KITTI/NuScenes object detection
[IEEE T-PAMI 2023] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
A tool to download waymo open dataset (https://github.com/waymo-research/waymo-open-dataset) and convert it from TFrecord to general format
[ECCV'20] Convolutional Occupancy Networks
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
Scaling and Benchmarking Self-Supervised Visual Representation Learning
The codes and dataset for the semantic explainable AI (S-XAI)
[ICCV 2023] You Only Look at One Partial Sequence
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)
Official implementation of "OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions"
(NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
[ECCV 2022] Lidar Point Cloud Guided Monocular 3D Object Detection.
Monocular Depth Estimation Toolbox based on MMSegmentation.