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spencer-yolo

spencer_people_tracking

Multi-modal ROS-based people detection and tracking framework for mobile robots developed within the context of the EU FP7 project SPENCER.

sphereface

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

sphereface-1

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

spiking-neural-network

Pure python implementation of SNN

spiral-tensorflow

in progress

spiyer99.github.io

website

spk_codeigniter

SPK AHP Ranking Sekolah Unggulan Menggunakan Framework Codeigniter

splashtohomeangga

spmc_videosr

Repository for Detail-revealing Deep Video Super-resolution https://arxiv.org/abs/1704.02738

sportcam_operator_actions_monitoring

SCOAM analyzes the actions of the sports camera operator e.g. zoom in / zoom out and left-right rotation. Uses the analysis of H264-encoded video sources, football-specific scene segmentation, and unsupervised clustering to find the direction of camera movement.

spotify-clone

Audio streaming application with MediaBrowserServiceCompat, ExoPlayer and Firestore

sppnet-pytorch

A simple Spatial Pyramid Pooling layer which could be added in CNN

sprint_gan

Privacy-preserving generative deep neural networks support clinical data sharing

spruce-android

Spruce Animation Library

sptag

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

squad

squad

squeezenet-ssd

SSD detection network of SqueezeNet, with pretrained weights on VOC0712 and mAP=0.643

squeezeseg

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

sr

Image and video super resolution

srcnnkit

CoreML and Keras implementation of Super-Resolution Convolutional Neural Network (SRCNN)

srcondensenet

Pytorch implementation of the paper "Efficient single image super resolution using Learned Group Convolutions"

srez

Image super-resolution through deep learning

srgan

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

srgan-1

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

srgan-tensorflow

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

srgan_wasserstein

Apply Waseerstein GAN into SRGAN, a deep learning super resolution model

srlab

single image super resolution algorithm implementation

srmd

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018)

srn

Selective Refinement Network for High Performance Face Detection, AAAI, 2019