A curated list of papers & resources linked to deep learning on point clouds.

A faster pytorch implementation of faster r-cnn

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Semantic Segmentation ported from PyTorchCV

PyTorch for Semantic Segmentation

DeDRM tools for ebooks

A complete computer science study plan to become a software engineer.

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Toolkit to use BDD Dataset

README and scripts for the Cityscapes Dataset

A tensorflow re-implementation of RRPN: Arbitrary-Oriented Scene Text Detection via Rotation Proposals.

🤘 awesome-semantic-segmentation

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

Instance-Batch Normalization Networks (ECCV2018)

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

Fully Convolutional Instance-aware Semantic Segmentation

Convolutional Neural Network for Text Classification in Tensorflow

Semantic Instance Segmentation with a Discriminative Loss Function in PyTorch

Paper list of Semantic Segmentation in CVPR 2018.

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

Resources of semantic segmantation based on Deep Learning model

A Neural Net Training Interface on TensorFlow

A Review on Deep Learning Techniques Applied to Semantic Segmentation

A collection of useful .gitignore templates

Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)

A Web Deployment Tool (web代码部署工具)

Coding WebIDE Community Edition

Matlab code for algorithms in PRML book

I would appreciate if someone can retrain the model. The "finetune from scratch" result should be better because the training details have been changed. (And mobilenet training not supported yet.)