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

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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…

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CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.

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Shallow Optical Flow Three-Stream CNN For Macro and Micro-Expression Spotting From Long Videos

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CUDA implementation of the paper "Fast Edge-Preserving PatchMatch for Large Displacement Optical Flow" in CVPR 2014.

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Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

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PyTorch implementation of the CortexNet predictive model

Code repository for paper `Skeleton Merger: an Unsupervised Aligned Keypoint Detector`.

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Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

BriefMatch real-time GPU optical flow

📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction

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Image Denoising Codes using STROLLR learning, the Matlab implementation of the paper in ICASSP2017

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

Official adversarial mixup resynthesis repository

(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper

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A comprehensive list of awesome contrastive self-supervised learning papers.

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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.

TCyb 2018: Graph learning for multiview clustering

Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data