113 Open source projects that are alternatives of or similar to flowattack

Dense Matching Benchmark

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

Python-based optical flow toolkit for existing popular dataset

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

Fast, accurate and easy to run dense optical flow with python wrapper

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

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Example code for the ADNS-3080 optical flow sensor

ROS-based framework and RPi image to control PX4-powered drones 🍀

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

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

OpenMMLab optical flow toolbox and benchmark

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

Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)

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

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

The py version of toflow → https://github.com/anchen1011/toflow

Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding

Unsupervised Learning for Image Registration

[ECCV 2018] DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)

Extract TVL1 optical flows in python (multi-process && multi-server)

Frame-Recurrent Video Super-Resolution (official repository)

SelFlow: Self-Supervised Learning of Optical Flow

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

An Algorithm to Quantify Robustness of Recurrent Neural Networks

Easily convert RGB video data (e.g. .avi) to the TensorFlow tfrecords file format for training e.g. a NN in TensorFlow. This implementation allows to limit the number of frames per video to be stored in the tfrecords.

Image based obstacle avoidance using optical flow

Repository for different network models related to flow/disparity (ECCV 18)

Extract video features from raw videos using multiple GPUs. We support RAFT and PWC flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features.

Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.

[CVPR 2020, Oral] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

Code for the unrestricted adversarial examples paper (NeurIPS 2018)

🎮 [IJCAI'20][ICLR'19 Workshop] Flow-based Intrinsic Curiosity Module. Playing SuperMario with RL agent and FICM!

Depth and Flow for Visual Odometry

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

Pure Pytorch implementation of Correlation Layer that commonly used in learning based optical flow estimator

ROS Error-State Kalman Filter based on PX4/ecl. Performs GPS/Magnetometer/Vision Pose/Optical Flow/RangeFinder fusion with IMU

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

Optical Flow estimation in pure Python

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

An implementation of several tracking algorithms based on Lucas Kanade algorithms

Python optical flow visualization following Baker et al. (ICCV 2007) as used by the MPI-Sintel challenge

Video++, a C++14 high performance video and image processing library.

[ICCV 2021 Oral] High-Resolution Optical Flow from 1D Attention and Correlation

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

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

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

Python framework for short-term ensemble prediction systems.

PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.

AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds (ECCV 2020)

Caffe implementation for "Guided Optical Flow Learning"

No description or website provided.

Spatial Pyramid Network for Optical Flow