Edge-aware Guidance Fusion Network for RGB-Thermal Scene Parsing

Last update: Dec 08, 2022

Related tags

Deep Learning EGFNet

Overview

EGFNet

Edge-aware Guidance Fusion Network for RGB-Thermal Scene Parsing

Dataset and Results

Test maps: 百度网盘提取码：zust

Citation

@ARTICLE{
author={Zhou, Wujie and Dong, Shaohua and Xu, Caie and Qian Yaguan},
booktitle={Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22)},
title={Edge-aware guidance fusion network for RGB–thermal scene parsing},
year={2022}}

Contact

Please drop me an email for further problems or discussion: [email protected] or [email protected]

Owner

ShaohuaDong

GitHub Repository

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Edge-aware Guidance Fusion Network for RGB-Thermal Scene Parsing

Related tags

Overview

EGFNet

Dataset and Results

Citation

Contact

Owner

ShaohuaDong

[NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.

This repository is a basic Machine Learning train & validation Template (Using PyTorch)

CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images

Forecasting for knowable future events using Bayesian informative priors (forecasting with judgmental-adjustment).

This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach"

Multi Agent Path Finding Algorithms

This project deploys a yolo fastest model in the form of tflite on raspberry 3b+. The model is from another repository of mine called -Trash-Classification-Car

Use AI to generate a optimized stock portfolio

PyTorch code of paper "LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering"

This code is a toolbox that uses Torch library for training and evaluating the ERFNet architecture for semantic segmentation.

Code for "3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop"

DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)

Sequence-to-Sequence learning using PyTorch

Scripts used to make and evaluate OpenAlex's concept tagging model

This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

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