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robond-perception-intro

Object Segmentation on 3D Point Cloud Data Using Python-PCL, DBSCAN, K-Means, Histograms, RANSAC, and SVM

robopianist

A Benchmark for High-Dimensional Robot Control.

robot-grasp-detection

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

robotics-dynamics-and-control

This contains all the codes of the Robot Dynamics and Control Labs. The imlementations model various kinds of manipulators and mobile robots for position control, trajectory planning and path planning problems. The codes are written on MATLAB 2017a.

ros_object_recognition

A framework for ROS-based 2D and 3D object recognition.

rot-equ-net

Discrete Rotation Equivariance for Point Cloud Recognition

rotationnet

scholarly-entity-usage-detection

Identifying Used Methods and Datasets in Scientific Publications

segment_plane_implicit

从三维建筑物点云中获取其隐式参数，例如建筑物的面一般为矩形，可以用其中3个顶点来表示，本项目即是获取这三个点，其他建筑物平面也做同样处理。本项目是基于PCL编程。

segmentation-driven-pose

Segmentation-driven 6D Object Pose Estimation. CVPR 2019.

semantic-segment-anything

Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

senet

Squeeze-and-Excitation Networks

senet-pytorch

senet.pytorch

PyTorch implementation of SENet

shiyanlou

学习C & C++ & python&汇编语言 LLVM编译器 数据结构 算法 操作系统 单片机 linux 面试

siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

single-image-super-resolution

A collection of high-impact and state-of-the-art SR methods

singleshotpose

This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).

sparse-structure-selection

sparseconvnet

Submanifold sparse convolutional networks

sphereface

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

spherical_regression

PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

starmap

StarMap for Category-Agnostic Keypoint and Viewpoint Estimation

stat212b

Topics Course on Deep Learning UC Berkeley

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

strike-with-a-pose

A simple GUI tool for generating adversarial poses of objects.

swindepose

techniques

Techniques for deep learning with satellite & aerial imagery