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A web-based collaborative LaTeX editor
DCNv2 supports decent pytorch such as torch 1.5+ (now 1.8+)
Official code for the paper UnSegGNet: Unsupervised Image Segmentation using Graph Neural Networks
🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) 🔥
[CVPR2021] SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation
RDPN6D: Residual-based Dense Point-wise Network for 6Dof Object Pose Estimation Based on RGB-D Images, CVPR Workshop DLGC, 2024
Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)
A PHP Blogging Platform. Simple and Powerful.
[CVPR 2024] Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
High-order-GNN-LF-iter framewrok on 3D Human Pose estimation
Learning to See in the Dark using pytorch
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Generative Adversarial Networks for different impaired speech conversions
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation. ECCV 2022.
Rigidity-Aware Detection for 6D Object Pose Estimation (CVPR 2023)
This repository contains codes of ICCV2021 paper: SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation
Segmentation-driven 6D Object Pose Estimation. CVPR 2019.
Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral
[TPAMI 2024] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation