Code for our paper A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization,

Last update: Dec 18, 2022

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Overview

FSRA

This repository contains the dataset link and the code for our paper A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization, IEEE Transactions on Circuits and Systems for Video Technology. Thank you for your kindly attention.

requirement

Download the University-1652 dataset
Configuring the environment
- First you need to configure the torch and torchision from the pytorch website
- ```
pip install -r requirement.txt
```

Download pre-training weights

You can download the pre-training weight from the following link and put them in the pretrain_model folder

Baidu Driver code: 52n2
Google Driver

Train and Test

We provide scripts to complete FSRA training and testing

Change the data_dir and test_dir paths in train_test_local.sh and then run:

bash train_test_local.sh

Owner

Dmmm

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Code for our paper A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization,

Related tags

Overview

FSRA

requirement

Download pre-training weights

Train and Test

Owner

Dmmm

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Code for our paper A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization,

Related tags

Overview

FSRA

requirement

Download pre-training weights

Train and Test

Owner

Dmmm

Create and implement a deep learning library from scratch.

Seeing if I can put together an interactive version of 3b1b's Manim in Streamlit

SOTA easy to use PyTorch-based DL training library

A MatConvNet-based implementation of the Fully-Convolutional Networks for image segmentation

Learning Logic Rules for Document-Level Relation Extraction

Official pytorch implementation of "DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion"

PyTorch implementation of the R2Plus1D convolution based ResNet architecture described in the paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition"

Code for "Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance" at NeurIPS 2021

Simple Linear 2nd ODE Solver GUI - A 2nd constant coefficient linear ODE solver with simple GUI using euler's method

PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.

A simple pytorch pipeline for semantic segmentation.

MARE - Multi-Attribute Relation Extraction

POT : Python Optimal Transport

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

PyTorch code for training MM-DistillNet for multimodal knowledge distillation

GPOEO is a micro-intrusive GPU online energy optimization framework for iterative applications

This is the pytorch implementation for the paper: *Learning Accurate Performance Predictors for Ultrafast Automated Model Compression*, which is in submission to TPAMI

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