I BIBI's starred repositories
free-programming-books
:books: Freely available programming books
segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Awesome-Video-Object-Segmentation
A curated list of video object segmentation (vos) papers, datasets, and projects.
VOS-Review
Datasets and Papers (with codes) discussed in "Deep Learning for Video Object Segmentation: A Review", Artificial Intelligence Review, 2023.
SuperSegger
A completely automated MATLAB-based trainable image cell segmentation, fluorescence quantification and analysis suite, particularly well suited for high-throughput time lapse fluorescence microscopy of in vivo bacterial cells.
Chan-Vese-model
A MATLAB implementation of Chan-Vese model for image segmentation, using the idea proposed by Chan and Vese.
Fast-Fuzzy-C-Means-Segmentation
Segment N-dimensional grayscale images into c classes using efficient c-means or fuzzy c-means clustering algorithm
AirportDetection
Extract airport objects in remote sensing images using saliency analysis and active contour model
Image-Segmentation-by-Correlation-Clustering
This is the project that we did for the Computer Vision course at Stony Brook University. It is a learning based method where the number of clusters do not have to be specified from the beginning. Image Segmentation by Correlation Clustering gave us extremely good results with Boundary displacement Error as low as 4.85 compared to 10.81 in the work "Higher-Order Correlation Clustering for Image Segmentation"
2012-SIIMS-nl-ac
M. Jung, G. Peyré, L. D. Cohen. Nonlocal Active Contours. SIAM Journal on Imaging Sciences, 5(3), pp. 1022–1054, 2012.
NNforMNIST
A 3-layer Fully Connected Neural Network for MNIST Classification, implemented using Python 3.5 and Numpy.
yuyanwei.github.io
Yanwei Yu Homepage, Ocean University of China, 于彦伟，**海洋大学，个人主页
Bone-Chest-X-rays
Bone-age prediction (regression) | Thoracic disease diagnosis (multi-label classification)
Pneumonia-detection
Our solution for 2018 Kaggle RSNA competition (pneumonia detection in Chest X-rays)
Adaptive_Filtering_NLMS_RLS
Adaptive filters NLMS (Normalized Least Mean Squares) and RLS (Recursive Least Squares) for audio processing applications
GVF_Image_Segmentation
Image segmentation with active contour and GVF (Gradient Vector Flow) variational method
Image_Denoising_Lee_Adaptive_Filter_Java
Image denoising using Lee's Adaptive Filter for Speckle noise removal - Java Code in Eclipse ImageJ pluging
SkinLesionSegmentation
Skin Lesion Segmentation by Using Object Detection Networks, DeepLab3+, and Active Contours
learning-not-to-learn
[CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
color-texture-img-seg-NS-WT
Color texture image segmentation based on neutrosophic set and wavelet transformation
SemanticSegmentation_DL
Resources of semantic segmantation based on Deep Learning model
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
Region-and-Edge-Based-Active-Contours
Final project for Partial Differential Equations in Image Processing and Computer Vision