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Name: JLQ
Type: User
Name: JLQ
Type: User
Detect object in 3D with Point Cloud and Image.
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Triangulation Learning Network: from Monocular to Stereo 3D Object Detection | KITTI
(ECCV 2022 Oral) TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop Scenes
[CVPR 2022] Code release for "Multimodal Token Fusion for Vision Transformers"
AVOD needs the planes file to provide ground plane information, but the official planes generation tool has not yet been provided, which brings great difficulty to the test work. This project is used to generate planes files especially for AVOD testing.
[CVPR 2021] Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
A high-performance neural network library for point cloud processing.
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
Transferable Semi-supervised 3D Object Detection from RGB-D Data
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
[CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
Traversable ground and above-ground object segmentation using graph representation of 3D LiDAR scans
GPU Accelerated t-SNE for CUDA with Python bindings
Two simple and effective designs of vision transformer, which is on par with the Swin transformer
Code for CVPR 2021 Submission of our paper 'Depth Completion with Twin Surface Extrapolation at Occlusion Boundaries'
Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)
A Pytorch Implementation of Unbiased Mean Teacher for Cross-domain Object Detection (CVPR 2021)
PyTorch code for ICLR 2021 paper Unbiased Teacher for Semi-Supervised Object Detection
PyTorch code for CVPR 2022 paper Unbiased Teacher v2 Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors
The official implementation of the method of Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive Object Detection
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds
Unifying Voxel-based Representation with Transformer for 3D Object Detection
[RA-L2022] V2X-Sim Dataset and Benchmark
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.