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3d-semantic-segmentation

This work is based on our paper Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds, which is appeared at the IEEE International Conference on Computer Vision (ICCV) 2017, 3DRMS Workshop.

acnet

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

active-learning-bayesian-convolutional-neural-networks

Active Learning on Image Data using Bayesian ConvNets

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

bayes-by-backprop

PyTorch implementation of "Weight Uncertainty in Neural Networks"

bayesian_cnn_continuallearning

Interpreting Bayesian inference as continual learning with a CNN

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

camera-motion-estimation

Implementation of a Preemptive RANSAC algorithm for Camera Motion Estimation

cannyedgepytorch

cdernet

cityscapesscripts

README and scripts for the Cityscapes Dataset

convcrf

This repository contains the reference implementation for our proposed Convolutional CRFs.

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

coordtransform_py

提供百度坐标系(bd-09)、火星坐标系(国测局坐标系、gcj02)、WGS84坐标系直接的坐标互转，也提供了解析高德地址的方法的python版本

deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

difftaichi

10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

dropoutuncertaintyexps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

efficientnet-pytorch

A PyTorch implementation of EfficientNet

excellenteam-mobileye-project

Get two frames from vehicle camera videos , and estimate the distance between the vehicle and the traffic sign . Divide the problem to two subproblems : Matching Problem , vision tasks such as stereo and motion estimation require finding corresponding features across two or more views. To solve that we used Harris Corner Detector The depth estimation problem, solving by triangle imagination equation .

fcrn-depthprediction

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

flow

Computational framework for reinforcement learning in traffic control

flownet2

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

flownet2-tf

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

fslnet

Pytorch implementation of FSLNet

gdrl

Grokking Deep Reinforcement Learning

gfnet

Global Filter Networks for Image Classification

hrnet-semantic-segmentation

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