Implementation of SLICO algorithm for superpixel estimation

Superpixel SLIC for CPU

(C++) OpenCV SLIC Superpixel Segmentation

Video segmentation with SLIC Superpixels and SVM classification

Superpixels Compared to State-of-the-Art Superpixel Methods

Implementation of the SLIC superpixel algorithm to work with OpenCV2

Implementation of the SLIC superpixel algorithm to work with OpenCV

subsense&GMM in one project

Motion U-Net is multi-cue autoencoder deep architecture for robust moving object detection

Pytorch implementation for Semantic Segmentation with multi models (Deeplabv3, Deeplabv3_plus, PSPNet, UNet, UNet_AutoEncoder, UNet_nested, R2AttUNet, AttentionUNet, RecurrentUNet,, SEGNet, CENet, …

FgSegNet : Foreground Segmentation Network

FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding

FgSegNet_v2: "Learning Multi-scale Features for Foreground Segmentation.” by Long Ang LIM and Hacer YALIM KELES

Dual Attention Network for Scene Segmentation (CVPR2019)

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

Visualizing RNNs using the attention mechanism

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

Keras Attention Layer (Luong and Bahdanau scores).

some attention implements

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

code and trained models for "Attentional Feature Fusion"

Code for our CVPR 2019 paper "A Simple Pooling-Based Design for Real-Time Salient Object Detection"

C++ implementation pool for computer vision R&D projects.

Restricted area monitoring based on contours detection and image background substraction.

Background segmentation is implemented in C++ language. You should be able to use the provided codes by setting the paths of the videos you want to use. Shadow detection and more advanced backgroun…

Block-based background substraction for surveillance video

Basic Motion Detection Techniques using OpenCV (Frame Differencing, Background Substraction, MoG...)