1468 Open source projects that are alternatives of or similar to Hidden Two Stream

Caffe implementation for "Guided Optical Flow Learning"

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

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

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

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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

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

TensorFlow implementation for "Guided Optical Flow Learning"

Surveillance System Against Violence

High-performance multiple object tracking based on YOLO, Deep SORT, and optical flow

Optimized (for size and speed) Caffe lib for iOS and Android with out-of-the-box demo APP.

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

[IJCAI18] SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

MTCNN with Motion Detection, on Raspberry Pi with Love

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

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

C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

BriefMatch real-time GPU optical flow

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Unsupervised Learning for Image Registration

Caffe to VHDL

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

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

MobileNet-v2 experimental network description for caffe

Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data

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.

The Convolutional Neural Network(CNN) for Android

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

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

Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.

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/>.

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnorma…

This repository host the code for real-time action detection paper

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

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

SelFlow: Self-Supervised Learning of Optical Flow

YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19

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

Use 3D ResNet to extract features of UCF101 and HMDB51 and then classify them.

A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch

Noise-Tolerant Paradigm for Training Face Recognition CNNs

Training Toolbox for Caffe

Keras version of Realtime Multi-Person Pose Estimation project

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

Trajectory-pooled Deep-Convolutional Descriptors

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

pytorch implementation of "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume"

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

TensorFlow code for finetuning I3D model on UCF101.

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

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".

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

通用的实时流golang框架，可以方便的创建游戏服务/聊天服务等

C3D for Keras + TensorFlow