rduan036 Goto Github PK

aicity-reid-2020

:red_car: The 1st Place Submission to AICity Challenge 2020 re-id track (Baidu-UTS submission)

camadj

Filtering 2D-3D Outliers by Camera Adjustment for Visual Odometry

dasiamrpn

[ECCV2018] Distractor-aware Siamese Networks for Visual Object Tracking

democode

Matlab demo code for the paper "Online Recommendation-based Convolutional Features for Scale-Aware Visual Tracking"

dynaslam

DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups

e2es-extended

MAV simulation on Gazebo

epro-pnp

[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

icra2021tracking

neuralnetwork

opensfm

Open source Structure-from-Motion pipeline

pymatting

A Python library for alpha matting

research-siamattn

Deformable Siamese Attention Networks for Visual Object Tracking (SiamAttn)

robotics_transformer

scene-graph-matching-demo

This is the demo code for the submitted paper "A Scene Graph Encoding and Matching Network for UAV Visual Localization"

siamese-networks-for-one-shot-learning

Implementation of Siamese Neural Networks for One-shot Image Recognition

siamese-pytorch

Implementation of Siamese Networks for image one-shot learning by PyTorch, train and test model on dataset Omniglot

siamese-pytorch-1

这是一个孪生神经网络（Siamese network）的库，可进行图片的相似性比较。

siamese-rpn-pytorch

This is a re-implementation of Siamese-RPN with pytorch, which is CVPR2018 spotlight.

siamtrackers

(2020-2021)The PyTorch version of SiamFC，SiamRPN，DaSiamRPN, UpdateNet , SiamDW, SiamRPN++, SiamMask, SiamFC++, SiamCar, SiamBAN, Ocean, LightTrack , TrTr; Visual object tracking based on deep learning

simclr

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

simsiam

A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'

sopvo

train_custom_dataset

标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

yolo-fastest

:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+

yolox-pytorch

这是一个yolox-pytorch的源码，可以用于训练自己的模型。

yomap

MsCVibot Software Engineering Project