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Starred repositories
Implementation of SLICO algorithm for superpixel estimation
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
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).
🍀 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...)