This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection

Official Pytorch Implementation of "Remote Sensing Image Change Detection with Transformers"

1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

A Change Detection Repo Standing on the Shoulders of Giants

A CNN-transformer Network with Multi-scale Context Aggregation for Fine-grained Cropland Change Detection

Boundary-Guided Camouflaged Object Detection

Due to the irregular shapes,various sizes and indistinguishable boundaries between the normal and infected tissues, it is still a challenging task to accurately segment the infected lesions of COVI…

DP-LinkNet: A convolutional network for historical document image binarization

Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)

Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

This repository contains the source code for my paper on masked face segmentation. Utilizing PyTorch, we developed a deep learning segmentation network to accurately identify mask regions on faces.

a Python 2 Harris Corner Detector

Building Segmentation Post-processing -- Contour regularization.

Implementation Code for the ICCASSP 2023 paper " Efficient Multi-Scale Attention Module with Cross-Spatial Learning" and is available at: https://arxiv.org/abs/2305.13563v2

Neural network visualizer

Macro to draw architecture of convolutional neural nets in tikz.

Latex code for making neural networks diagrams

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