luckyowl2 Goto Github PK

benchmark_results

Visual Tracking Paper List

coursera-machinelearning

Stanford University - Machine Learning by Andrew Ng

deep-speckle-correlation

python implementation of Deep speckle correlation: a deep learning approach towards scalale imaging through scattering media

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning_cnn

deeplearning_demo

some demo

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

easyconvnet

A simple implementation of convolutional networks in Matlab

image-stitching

MATLAB code for panorama image stitching.

kalman_filter_multi_object_tracking

Multiple object tracking using Kalman Filter and Hungarian Algorithm - OpenCV

machine-learning--coursera

My Solution of Assignments of Machine-Learning on Coursera

machinevision-toolbox-matlab

Machine Vision Toolbox for MATLAB

matlab-machine-learning

Source Code for 'MATLAB Machine Learning' by Michael Paluszek and Stephanie Thomas

matlab_deep_learning

《Matlab计算机视觉与深度学习实战》代码

pose-aligned-deep-networks

Pose Aligned Networks for Deep Attribute Modeling matlab code used for the publication here: http://arxiv.org/abs/1311.5591

siamese-fc

Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.

siammask

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

sort

Simple, online, and realtime tracking of multiple objects in a video sequence.

tensorflow-xception

TensorFlow implementation of the Xception Model by François Chollet

tf-tracking

Visual Object Tracking tensorflow-implementation

vehicle_detection_recognition

This is a Matlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset:http://ai.stanford.edu/~jkrause/cars/car_dataset.html