Pseudo-labelling and knowledge distillation from multiple teachers for remote sensing monitoring of deforestation in Ukraine

Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"

"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)

This project predicts Tetouan City's power consumption using machine learning.

TST - Transformer Architecture for Time Series Data

Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation

[CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”

[AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning

Deep learning paper reviews with PyTorch

Mapping of Land Use and Land Cover (LULC) using EuroSAT and Transfer Learning 🛰️🌍📊

My personal notes

A list of popular github projects related to deep learning

Just wrote a PyTorch code for publicly available EuroSat data set.

Code and models for efficient training on the BigEarthNet dataset for Land Use Land Cover classification

Multispectral-Land-Cover-Classification App using deep learning along with transfer learning (Resnet50) and EuroSAT dataset

Train Convolutional Neural Network to predict land cover type from multispectral Sentinel-2 satellite imagery

ViT fine-tuning and iterative erasing prediction algorithm using self-attention weights in PyTorch

Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.

Official code for the paper "Domain Generalization for Crop Segmentation with Knowledge Distillation"

PyTorch implementation of popular datasets and models in remote sensing

Code repository for "Self-supervised Vision Transformers for Land-cover Segmentation and Classification", CVPR EarthVision workshop - Best Student Paper Award

Repository containing the source code and the experiments using the OEM Mini dataset.

A framework for land-use classification using open sourced python based geospatial modules.

Land Cover Classification through semantic segmentation for MUSA-650 final project

A curated list of awesome vision and language resources for earth observation.

SAR Building Dataset

Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang. More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification, IEEE TGRS,…