DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as links to pre-trained checkpoints and the SEN12MS-CR dataset.
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Updated
May 22, 2024 - Python
DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as links to pre-trained checkpoints and the SEN12MS-CR dataset.
Implement Human Activity Recognition in PyTorch using hybrid of LSTM, Bi-dir LSTM and Residual Network Models
CNN implementation of article 'Segmentation of Drilled Holes in Texture Wooden Furniture Panels Using Deep Neural Network' by Rytis Augustauskas, Arūnas Lipnickas and Tadas Surgailis
Official implementation for "Detecting plant invasion in urban parks with aerial image time series and residual neural network" published in remote sensing journal
Deep Spatio-Temporal Residual Networks for Mobile Location Data Prediction (instead of original Crowd Flow Prediction) - Modified ST-ResNet
Final project assigned for the Introduction to Image Processing (EE 475) course in the Spring 2023 semester.
Residual learning: A new paradigm to improve deep learning-based segmentation of the left ventricle in magnetic resonance imaging cardiac images
Fraud detection via residual neural network. (+ DVC)
Deep learning model to predict the normal flow between two consecutive frames, being the normal flow the projection of the optical flow on the gradient directions.
Residual Neural Network Object Detector written for Pycocotool's library. Model implements custom skip block connections and uses a custom dataset loader for image classification object detection.
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