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Wei's Projects

lagou icon lagou

前端练习项目,实现仿拉勾网首页。

leetcode icon leetcode

:sparkles::v::sparkles:leetcode刷题 内附leetcode solution代码自动下载生成器(Leetcode solution auto generator)

multispectral-maskrcnn icon multispectral-maskrcnn

The goal of this project is to ascertain the role of intensity and depth channels in instance segmentation of traffic signs. It has been shown that secondary channels, like intensity and depth, provide complementary information to the neural net and can thus boost the efficiency of a model. The project aims to explore the ramifications of experimenting with intensity or reflectivity and depth channels along with RGB images and determine the optimal architecture to combine them most effectively. The intensity and depth data is obtained from LIDAR sensors. Two different implementations of substituting channels in Mask R-CNN are explored.

opmask icon opmask

Official implementation of the paper 'Prior to Segment: Foreground Cues for Novel Objects in Partially Supervised Instance Segmentation'

pegbis icon pegbis

Python implementation of "Efficient Graph-Based Image Segmentation" paper

polycnn icon polycnn

End-to-End Learning of Polygons for Remote Sensing Image Classification

pythonnotes icon pythonnotes

This repository contains some notes I took while learning python.

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