This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
My implementaion of super-resolution based on dual-path networks. It can be used directly to reconstruct your low-resolution image to high-resolution. Also, you can use your dataset to train your networks
Route middleware for Koa and Express that adds a request received high-resolution timer and Date to the request object using easily accessible Symbols to prevent request object pollution. Made for Cabin.
This repository is about video compression, and more specifically about the motion estimation block (ME block) of a video encoder. It is a research project for developing an efficient motion estimation algorithm, so that the video compression technology can keep pace with the high frame rate videos and high resolution videos.
Lslide package provides functions for the automated dection of landslides using high-resolution LiDAR DTM data, open-source software, and an object-oriented approach. Moreover, it consists of basic functions of Evan's Geomorphometry & Gradient Metrics Toolbox
A highly extensible fractal rendering library that combines high speed generic arithmetic with a flexible framework that will get your fractal rendering project off the ground in a jiffy.
