[TNNLS 2023] The official repo for the paper "Spectral-Spatial Global Graph Reasoning for Hyperspectral Image Classification".
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Updated
Oct 13, 2024 - Python
[TNNLS 2023] The official repo for the paper "Spectral-Spatial Global Graph Reasoning for Hyperspectral Image Classification".
Segmentation Model for micrographs of hypoeutectoid steels, based on superpixels and textons, with an added ability to estimate the mean apparent interlaminar spacing of pearlite and the mechanical properties.
Superpixel Attention Paper
Something to do with Math I think
Classification of satellite images in Rio de Janeiro - BR
This repository contains the code implementation used in the paper: "Point Label Aware Superpixels for Multi-species Segmentation of Underwater Imagery"
大学本科毕业设计
Code to generate a hierarchy of semantic segments given an image and some points which need to be assigned to separate regions. This was my senior research project at the Thomas Jefferson High School for Science and Technology.
Python implementation of the paper "A study on wrist identification for forensic investigation" https://www.sciencedirect.com/science/article/abs/pii/S0262885619300733
Tinkering and Playing around!
[TIP 2023] The official repo for the paper "DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification".
Augmentations for Neural Networks. Implementation of Torchvision's transforms using OpenCV and additional augmentations for super-resolution, restoration and image to image translation.
Simple linear iterative clustering (SLIC) in a region of interest (ROI)
A set of algorithms and other cool things that I learned while doing image processing with openCV using C++ and python.
Superpixel Sampling Networks (ECCV2018)
Image segmentation - general superpixel segmentation & center detection & region growing
real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)
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