FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery (TGRS)

Last update: Jan 05, 2023

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Deep Learning FactSeg

Overview

FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery

by Ailong Ma, Junjue Wang, Yanfei Zhong and Zhuo Zheng

This is an official implementation of FactSeg in our TGRS paper " FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery "

Citation

If you use FactSeg in your research, please cite our coming TGRS paper.

@ARTICLE{FactSeg,
  author={Ma Ailong, Wang Junjue, Zhong Yanfei and Zheng Zhuo},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery}, 
  year={2021},
  volume={},
  number={},
  pages={1-16},
  doi={10.1109/TGRS.2021.3097148}}

This is follow-up work of our FarSeg (CVPR2020).

@inproceedings{zheng2020foreground,
  title={Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery},
  author={Zheng, Zhuo and Zhong, Yanfei and Wang, Junjue and Ma, Ailong},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={4096--4105},
  year={2020}
}

Getting Started

Install SimpleCV

pip install --upgrade git+https://github.com/Z-Zheng/SimpleCV.git

Requirements:

pytorch >= 1.1.0
python >=3.6

Prepare iSAID Dataset

ln -s </path/to/iSAID> ./isaid_segm

Evaluate Model

1. download pretrained weight in Google Drive

2. move weight file to log directory

mkdir -vp ./log/
mv ./factseg50.pth ./log/model-60000.pth

3. inference on iSAID val

bash ./scripts/eval_factseg.sh

Train Model

bash ./scripts/train_factseg.sh

FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery (TGRS)

Related tags

Overview

FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery

by Ailong Ma, Junjue Wang, Yanfei Zhong and Zhuo Zheng

Citation

Getting Started

Install SimpleCV

Requirements:

Prepare iSAID Dataset

Evaluate Model

1. download pretrained weight in Google Drive

2. move weight file to log directory

3. inference on iSAID val

Train Model

Owner

Kingdrone

TJU Deep Learning & Neural Network

MANO hand model porting for the GraspIt simulator

Vision Deep-Learning using Tensorflow, Keras.

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Code for our paper "Interactive Analysis of CNN Robustness"

This is a virtual picture dragging application. Users may virtually slide photos across the screen. The distance between the index and middle fingers determines the movement. Smaller distances indicate click and motion, whereas bigger distances indicate only hand movement.

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Kinetics-Data-Preprocessing

FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery (TGRS)

Related tags

Overview

FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery

by Ailong Ma, Junjue Wang*, Yanfei Zhong* and Zhuo Zheng

Citation

Getting Started

Install SimpleCV

Requirements:

Prepare iSAID Dataset

Evaluate Model

1. download pretrained weight in Google Drive

2. move weight file to log directory

3. inference on iSAID val

Train Model

Owner

Kingdrone

TJU Deep Learning & Neural Network

MANO hand model porting for the GraspIt simulator

Vision Deep-Learning using Tensorflow, Keras.

Deep Learning Training Scripts With Python

Code for the paper: On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations

PyTorch META-DATASET (Few-shot classification benchmark)

High frequency AI based algorithmic trading module.

Optimizing Deeper Transformers on Small Datasets

python library for invisible image watermark (blind image watermark)

Code for our paper "Interactive Analysis of CNN Robustness"

This is a virtual picture dragging application. Users may virtually slide photos across the screen. The distance between the index and middle fingers determines the movement. Smaller distances indicate click and motion, whereas bigger distances indicate only hand movement.

Machine Learning Platform for Kubernetes

🔊 Audio and fastai v2

HairCLIP: Design Your Hair by Text and Reference Image

Deep Latent Force Models

RL algorithm PPO and IRL algorithm AIRL written with Tensorflow.

DCSL - Generalizable Crowd Counting via Diverse Context Style Learning

Stroke-predictions-ml-model - Machine learning model to predict individuals chances of having a stroke

This computer program provides a reference implementation of Lagrangian Monte Carlo in metric induced by the Monge patch

Kinetics-Data-Preprocessing

by Ailong Ma, Junjue Wang, Yanfei Zhong and Zhuo Zheng