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maky's Projects

cxxnet icon cxxnet

move forward to https://github.com/dmlc/mxnet

d2l-zh-deep_learning icon d2l-zh-deep_learning

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球300所大学用于教学。

d2slam-vslam icon d2slam-vslam

$D^2$SLAM: Decentralized and Distributed Collaborative Visual-inertial SLAM System for Aerial Swarm

daba-bundle_adjustment icon daba-bundle_adjustment

Official implementation of "Decentralization and Acceleration Enables Large-Scale Bundle Adjustment"

dalf_cvpr_2023-deep_feature icon dalf_cvpr_2023-deep_feature

DALF is a joint image keypoint detector and descriptor for handling non-rigid deformations. It also works great under large rotations.

darkfeat-deep_feature icon darkfeat-deep_feature

[AAAI 2023] DarkFeat: Noise-Robust Feature Detector and Descriptor for Extremely Low-Light RAW Images

dav-depth icon dav-depth

[ECCV 2020] Guiding Monocular Depth Estimation Using Depth Attention-Volume

dbscan-algorithm icon dbscan-algorithm

Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms - R package

dcl-slam-laser_slam icon dcl-slam-laser_slam

A ROS package of DCL-SLAM: Distributed Collaborative LiDAR SLAM Framework for a Robotic Swarm.

ddnsto icon ddnsto

DDNSTO 文档以及问题反馈。

ddrnet-segmentation icon ddrnet-segmentation

The official implementation of "Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes"

ddrnet.pytorch-segmentation icon ddrnet.pytorch-segmentation

This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data

deep-image-matching-deep_local_feature icon deep-image-matching-deep_local_feature

Multiview matching with deep-learning and hand-crafted local features for COLMAP. Supports high-resolution formats and images with rotations. Both CLI and GUI are supported.

deeplm-optimization icon deeplm-optimization

DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using Stochastic Domain Decomposition (CVPR 2021)

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