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swan2015's Projects

dslt icon dslt

Deep Regression Tracking with Shrinkage Loss

edgeboxes icon edgeboxes

Implementation of the algorithm described in https://pdollar.github.io/files/papers/ZitnickDollarECCV14edgeBoxes.pdf

edgeboxes-cpp-version icon edgeboxes-cpp-version

A c++ implementation of pdollar's Structured Edge Detection Toolbox. Written by opencv c++.

edges icon edges

Structured Edge Detection Toolbox

eva icon eva

EVA is a web-based tool for efficient annotation of videos and image sequences and has an additional tracking capabilities

fast-planner icon fast-planner

A Robust and Efficient Trajectory Planner for Quadrotors

fcnt_tf icon fcnt_tf

Implementation of FCNT using Tensorflow

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

human-pose-estimation.pytorch icon human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

imagenet-datasets-downloader icon imagenet-datasets-downloader

ImageNet dataset downloader. Creates a custom dataset by specifying the required number of classes and images in a class.

imagenet-training icon imagenet-training

Pytorch ImageNet training codes with various tricks, lr schedulers, distributed training, mixed precision training, DALI dataloader etc.

kcfpy icon kcfpy

Python implementation of KCF tracking algorithm

laf icon laf

code for "Robust Feature Matching for Remote Sensing Image Registration via Linear Adaptive Filtering"

lightkg icon lightkg

基于Pytorch和torchtext的知识图谱深度学习框架。

lighttrack icon lighttrack

[CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search

lkhq icon lkhq

Implementation of Lin-Kernighan-Helsgaun heuristics, but using a quad tree.

machine-learning-learning-notes icon machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!

mae-pytorch icon mae-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

matlabdqn icon matlabdqn

Deep Q-network for self balancing an inverted pendulum

mexopencv icon mexopencv

Collection and a development kit of matlab mex functions for OpenCV library

mft icon mft

Multi-solution Fusion for Visual Tracking(MFT)

mlpack icon mlpack

mlpack: a scalable C++ machine learning library --

mmcv icon mmcv

OpenMMLab Computer Vision Foundation

mmtracking icon mmtracking

OpenMMLab Video Perception Toolbox. It supports Single Object Tracking (SOT), Multiple Object Tracking (MOT), Video Object Detection (VID) with a unified framework.

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