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ssd-text_detection

A modified SSD model for text detection

ssds_pr17

Hongxing Wang, Yoshinobu Kawahara, Chaoqun Weng, and Junsong Yuan, Representative Selection with Structured Sparsity, Pattern Recognition, 2017

ssvmjulia

Structural SVMs in Julia

sta

matlab code for Spatial Tensor Aggregation

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

stanforddeeplearningtutorial

This is all the MATLAB code I wrote for Stanford's Deep Learning Tutorial, applied to image classification.

staple

Code for the tracker described in the CVPR16 paper "Staple: Complementary Learners for Real-Time Tracking"

stat-programming

Implementations of statistic algorithms. Derived from STATS 202A class notes.

stat212b

Topics Course on Deep Learning UC Berkeley

stock-portfolio-builder

Use financial optimization models with MATLAB

stocks

Fetching and analyzing analyst recommenations on stocks

strategy_core

An open source algorithm package for machine learning, data mining and optimization.

struck

struck_matlab

A matlab version of Struck.

struct_learning_example

Example code for structural learning

structural-sparsity

Structure learning for sparse graphs with latent variables

structured-data-learning

Project for Structured Data Machine Learning: Learning to Localize Objects with Structured Output Regression

structured-matching

codes for ECCV 2016

structured_prediction_for_segmentation

Image Segmentation using Structured Prediction

structuredsvm

stsc

Supervised Transfer Sparse Coding

subdiscover

Subcategory Discovery and Segmentation for CVPR 2014 Paper (http://www.cs.cmu.edu/~xinleic/papers/cvpr14.pdf)

subkit

Subspace Clustering Library

subpixel

subpixel: A subpixel convnet for super resolution with Tensorflow

subrw

SubMarkov Random Walk for Image Segmentation, IEEE TIP 2016

sun_attributes

Code of training and implementing scene attribute classifiers. Project page: http://cs.brown.edu/~gen/sunattributes.html

superpixel-brain-segmentation

该程序里面包含了多个很有用的代码，比如CRF分割

superpixels-revisited

Library containing 7 state-of-the-art superpixel algorithms with a total of 9 implementations used for evaluation purposes in [1] utilizing an extended version of the Berkeley Segmentation Benchmark.

superpixpool

Superpixel Pooling implemented in PyTorch and Chainer

superpoint

Efficient neural feature detector and descriptor