609 Open source projects that are alternatives of or similar to GuidedNet

TensorFlow implementation for "Guided Optical Flow Learning"

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

SelFlow: Self-Supervised Learning of Optical Flow

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

[MICCAI'18] Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

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A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

TOD: GPU-accelerated Outlier Detection via Tensor Operations

Image based obstacle avoidance using optical flow

Python layer for the Caffe deep learning framework to compute the accuracy and the confusion matrix.

OpenMMLab optical flow toolbox and benchmark

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Main component extraction for outlier detection

Mxnet2Caffe_Tensor RT

基于RabbitMQ简单实现验证码识别平台，训练网络模型智能识别图形验证码

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Official repository of Learning Multi-Human Optical Flow (IJCV 2019)

Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks to construct an optimized diversified intelligent portfolio.

A Caffe Implementation of SRGAN

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Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)

在caffe应用到工程实现时，为了方便系统安装，需要尽可能减少软件的依赖库。 本项目以bash shell/PowerShell脚本实现将caffe依赖的所有第三方库与caffe静态编译一起，以满足全静态编译的要求。 通过本项目提供的脚本生成的caffe编译环境不需要在系统安装任何第三方库和软件，就可以自动完成caffe项目静态编译. 目前在centos6.5/ubuntu16/win7/win10上测试通过,windows上VS2013,VS2015,MinGW 5.2.0编译通过

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

[ICCVW 2021] Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement

A Big Awesome List CoreML Models.

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

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[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

This is a master project of some experiments with Neural Networks. Every project here is runnable, visualized and explained clearly.

XNOR-Net, CUDNN5 supported version of XNOR-Net-caffe: https://github.com/loswensiana/BWN-XNOR-caffe

The SimNets Architecture's Implementation in Caffe

Convert image folder to lmdb, adapted from Efficient-PyTorch

Compact Generalized Non-local Network (NIPS 2018)

Semantically consistent regularizer for zero-shot learning

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Squeeze-and-Excitation Networks

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Code release for "Learning Shape Abstractions by Assembling Volumetric Primitives " (CVPR 2017)

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Simple implementation of kpzhang93's paper from Matlab to c++, and don't change models.

Unsupervised Learning to Market Behavior Forecasting Example