444 Open source projects that are alternatives of or similar to deepOF

Caffe implementation for "Guided Optical Flow Learning"

SelFlow: Self-Supervised Learning of Optical Flow

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

Unsupervised Learning for Image Registration

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

Learning to Cluster. A deep clustering strategy.

SPEAR: Programmatically label and build training data quickly.

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

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

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

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

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

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.

Deep Metric Transfer for Label Propagation with Limited Annotated Data

speech to text with self-supervised learning based on wav2vec 2.0 framework

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

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

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

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

Implementing Clustering Algorithms from scratch in MATLAB and Python

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

Reproduce some methods in semi-supervised papers.

Awesome-Cross-Domain-Person-Re-identification

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

Video Recognition using Mixed Convolutional Tube (MiCT) on PyTorch with a ResNet backbone

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

Invariant representation learning from imaging and spectral data

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

Linguistica 5: Unsupervised Learning of Linguistic Structure

Keras implementation of temporal ensembling(semi-supervised learning)

Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020

TOD: GPU-accelerated Outlier Detection via Tensor Operations

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

Implementing Billion-scale semi-supervised learning for image classification using Pytorch

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

Experiments on unsupervised point cloud reconstruction.

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

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.

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

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

Attacking Optical Flow (ICCV 2019)

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

No description or website provided.

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

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

Python codes for weakly-supervised learning

Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"

Unsupervised Learning to Market Behavior Forecasting Example

Neural Relation Understanding: neural cardinality estimators for tabular data

Pytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/1807.11407)

SALT (iccv2017) based Video Denoising Codes, Matlab implementation

machine learning algorithms in Swift

[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors

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