324 Open source projects that are alternatives of or similar to Ddflow

Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.

Caffe implementation for "Guided Optical Flow Learning"

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

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

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

TensorFlow implementation for "Guided Optical Flow Learning"

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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SelFlow: Self-Supervised Learning of Optical Flow

Unsupervised Learning for Image Registration

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PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

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

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

Learning Video Object Segmentation from Unlabeled Videos (CVPR2020)

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

(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

Optical Flow estimation in pure Python

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

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

Example code for the ADNS-3080 optical flow sensor

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📈 Regression and Classification with UC Davis student quiz data and exam data

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

An implementation of several tracking algorithms based on Lucas Kanade algorithms

Self-Supervised Learning Toolbox and Benchmark

TensorFlow Implementation of Unsupervised Cross-Domain Image Generation

code for unsupervised learning Neural Hidden Markov Models paper

Codebase for the Summary Loop paper at ACL2020

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Python implementation of bag-of-concepts

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

PyTorch Blog Post On Image Similarity Search

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

TensorFlow implementation of Deep Graph Infomax

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

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

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

Composable GAN framework with api and user interface

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Algorithms for outlier and adversarial instance detection, concept drift and metrics.

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